#LI-CR2 #LI-Hybrid 

CBIZ Inc. is a leading professional services advisor to middle market businesses and organizations nationwide. With unmatched industry knowledge and expertise in accounting, tax, advisory, benefits, insurance, and technology, CBIZ delivers forward-thinking insights and actionable solutions to help clients anticipate what's next and discover new ways to accelerate growth. CBIZ has more than 10,000 team members across more than 160 locations in 22 major markets coast to coast.

CBIZ strives to be our team members' employer of choice by creating an environment where team members are appreciated, recognized for their contributions, and provided with opportunities to grow, both personally and professionally, throughout their careers.

Together, CBIZ and CBIZ CPAs are ranked as one of the top providers of accounting services in the United States. CBIZ CPAs is an independent CPA firm that provides audit, review and attest services, while CBIZ provides business consulting, tax and financial services. In certain jurisdictions, CBIZ CPAs operates under its previous name, Mayer Hoffman McCann P.C.

We are seeking an experienced and highly skilled AI Security Architect to join AI Security team in Israel. This is a hands-on, highly technical role responsible for defining security architecture and implementing robust security controls for our AI/ML systems and their underlying platforms.

You will serve as the team’s technical mentor and architecture authority, driving secure-by-design patterns across the AI/ML lifecycle (data, training, evaluation, deployment, and production monitoring) and proactively mitigating AI-specific threats such as model integrity risks, data poisoning, adversarial attacks, prompt injection, model extraction, and inference-time abuse. While you won’t manage people, you will lead technically, set standards, and guide engineers day-to-day through architecture, reviews, and delivery.

Key Responsibilities:

Architecture & Secure-by-Design Leadership

• Define and maintain AI security reference architectures for multiple AI deployment patterns, including MCP / Agentic AI and LLM application stacks (RAG, tools/plugins, agents, orchestration).
• Establish and evolve security requirements, patterns, and guardrails across the AI/ML SDLC (design → build → run), including secure pipelines and platform controls.
• Own AI security architecture decisions across critical domains: identity, secrets, data protection, network controls, tenancy boundaries, logging/telemetry, and isolation for training/inference.

Control Design & Implementation (Hands-on)

• Design and deploy controls to ensure model integrity and governance, including RBAC/ABAC for models, feature stores, data sets, registries, and evaluation artifacts.
• Build/enable technical mechanisms for provenance, attestation, signing, and approval workflows (where applicable) across datasets, models, prompts, and deployments.
• Drive implementation of runtime protections for AI services (abuse prevention, rate limiting, input/output validation, prompt-injection mitigations, model endpoint hardening, and monitoring).

Threat Modeling, Assurance, and Risk Reduction

• Conduct and lead AI/ML-specific threat modeling (data poisoning, model evasion, extraction, inversion, supply-chain, prompt attacks), translate findings into actionable backlogs, and drive remediation.
• Define and run security design reviews for AI initiatives; provide clear, pragmatic architecture guidance and document exceptions with risk acceptance paths.
• Establish AI security testing approaches (adversarial testing, red-teaming enablement, evaluation security, misuse/abuse cases) and integrate into delivery pipelines.

Tooling, Automation, and Operational Enablement

• Design and deliver AI security tooling to improve and automate cybersecurity posture (e.g., controls coverage, policy-as-code, detection engineering, vulnerability management integration, incident response playbooks for AI-specific events).
• Define logging/monitoring standards and detection use-cases for AI platforms and LLM apps (drift signals, anomalous access, suspicious prompt patterns, exfiltration indicators, policy violations).

Technical Mentorship & Influence (No Line Management)

• Act as the team’s technical mentor: coach engineers through designs, implementations, and trade-offs; raise engineering quality via reviews, pairing, and knowledge sharing.
• Lead by influence across Data Science, Engineering, Product, Platform, and Cybersecurity—driving alignment without formal authority.
• Create internal enablement materials: runbooks, architecture standards, reusable patterns, and reference implementations.

Requirements

Required Qualifications

Experience

• 6+ years in Information Security, Cloud Security, or Application Security.
• 2+ years securing AI/ML systems or LLM applications in production (or equivalent depth in architecture and threat modeling for AI-enabled systems).
• Proven track record designing security architectures and driving adoption across multiple teams.

Technical Expertise

• Deep understanding of the ML/AI lifecycle and associated security risks (training/inference threats, data governance, evaluation integrity, model/prompt supply chain).
• Strong expertise in cloud security (AWS/Azure/GCP) and AI/ML services (e.g., SageMaker, Vertex AI, Azure ML) plus container platforms/orchestration.
• Strong knowledge of data security (classification, encryption, masking/tokenization, key management, lineage/provenance).
• Strong knowledge of application security architecture and secure design patterns (API security, authz/authn, secrets, CI/CD, policy-as-code).
• Deep understanding of AI-specific threats/defenses: adversarial ML, data poisoning, prompt injection, model inversion, model extraction, inference-time attacks.
• Strong coding ability in Python and/or Go (building security tooling, automation, integrations, prototypes).

Soft Skills

• Excellent communication—able to translate complex AI security risks into clear engineering requirements and decision-ready trade-offs.
• Strong stakeholder management and ability to drive alignment and delivery across diverse teams.
• Practical, proactive mindset with strong problem-solving in ambiguous, fast-moving AI environments.

Preferred Qualifications

• BA/BS degree required; advanced degree (MS/PhD) in Computer Science, Data Science, Cybersecurity, or related field is a plus.
• Certifications such as CISSP, CSSLP, and/or relevant cloud/security certifications; AI security-focused training is a plus.
• Familiarity with AI security frameworks/standards and enterprise governance expectations.

We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.

Description Hebrew

Requirements Hebrew

We are building an elite AI Red Team to stress-test and harden enterprise-scale AI products deployed to some of the world’s largest organizations.

This is not a theoretical research role.

This role sits at the intersection of adversarial machine learning, enterprise security architecture, and governance. You will lead the design and execution of structured red team engagements across multiple AI systems — and translate technical risk into enterprise-aligned assurance.

If you have ever been frustrated watching AI risk findings remain stuck in a slide deck with no operational impact, this role is designed to change that.

• Design and lead adversarial testing of LLM and AI-driven systems
• Conduct threat modelling across model, infrastructure and data layers
• Execute and oversee testing for:
• Prompt injection
• Jailbreaking
• Model exploitation
• Data leakage / extraction
• RAG system manipulation
• Translate findings into structured, audit-ready documentation
• Map vulnerabilities and remediation pathways to:
• ISO 27001 controls
• SOC 2 Trust Service Criteria
• ISO 27701 privacy controls
• ISO 27017 cloud security controls
• Partner closely with engineering, security, and compliance functions
• Present findings clearly to executive leadership

This role ensures AI security findings integrated into enterprise governance frameworks.

• Strong understanding of adversarial machine learning
• Experience red teaming LLM or AI systems
• Deep familiarity with AI deployment architectures (RAG, APIs, vector DBs, fine-tuning pipelines)
• Strong Python proficiency

• Experience working within ISO 27001 environments
• Practical knowledge of SOC 2 Trust Service Criteria
• Understanding of ISO 27701 privacy extensions
• Familiarity with ISO 27017 cloud security controls
• Ability to map technical findings to control frameworks

• Ability to produce clear, structured, audit-friendly documentation
• Comfortable presenting technical risk to executive audiences
• Strong written and verbal communication skills

• Systems thinker
• Curious and adversarial in mindset
• Comfortable identifying uncomfortable truths
• Autonomous and fast-moving
• Enterprise-aware, not just technically strong
• Able to operate independently under executive leadership

You understand that security is about both breaking systems and integrating findings into operational and compliance posture.

• Comprehensive Private Medical Coverage
• Support for Mental Health Expenses
• Life Insurance Options
• Attractive Compensation Package

Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Vice President in the Model Risk Governance and Review (MRGR) team, you will support model risk stakeholders in governance activities, manage model risk policies, and oversee technology and analytics development, ensuring effective risk management and compliance. You'll play a crucial role in responsibly growing the business by anticipating risks and solving real-world challenges. Our culture encourages innovative thinking and excellence. As part of the Model Risk Governance and Review (MRGR) team, you'll support model risk stakeholders in governance activities, manage model risk policies, and oversee technology and analytics development, ensuring effective risk management and compliance.

Job Responsibilities

• Drive initiatives to enhance the model risk management framework, ensuring it is fit-for-purpose and can be efficiently executed by model risk stakeholders
• Ensure changes are consistently reflected across all model risk framework components, including policy, procedures, templates, metric definitions, and reporting design
• Serve as the primary contact for queries related to the model risk management framework
• Innovatively redesign model risk management processes for operational excellence, managing multiple projects simultaneously
• Collaborate with the infrastructure product team to align process and system designs
• Triage and prioritize proposed enhancements, engaging with management and stakeholders to provide transparency in a clear and concise manner
• Work closely with stakeholders in other teams/functions to gather feedback and promote consistency in model risk management practices
• Maintain strong connections with other frameworks and controls within the firm to ensure comprehensive model risk management

Required qualifications, capabilities, and skills

• Proven experience in developing and enhancing model risk management frameworks, along with expertise in process re-engineering
• Demonstrated ability to juggle multiple priorities while ensuring clear and transparent decision-making
• Strong analytical skills paired with strategic thinking abilities

• Exceptional attention to detail and outstanding communication skills

   

Preferred qualifications, capabilities, and skills

• Candidates with experience in model risk management, risk consulting, or roles focused on risk and control 
   

OVERVIEW

The Company

U.S. Financial Technology (U.S. FinTech) is seeking an experienced Data and AI Governance Manager to join our team of talented professionals. This is a full-time remote opportunity. 

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Supporting 70% of the mortgage-backed securities in the market, U.S. FinTech provides best-in-class single-family issuance, bond administration, disclosure, and tax services. We support a broad portfolio of products for our clients with full lifecycle management.

Our market-leading, cloud-based, end-to-end platform executes transactions on an extraordinary scale which has bolstered liquidity in the secondary mortgage market, one of the largest and most important financial markets in the world. Our unique approach to securitization combines the best minds in financial services with the know-how, flexibility, and innovation of leading technologists.

RESPONSIBILITIES

Job Information

The Data and AI Governance Manager is a leadership role responsible for designing, embedding, and continuously maturing the enterprise-wide framework that governs how data and AI are sourced, managed, protected and deployed across the organization.

Operating at the intersection of data strategy, AI risk, and regulatory compliance within a highly regulated financial services environment, the role ensures the organization's practices align with industry standards including DCAM, NIST AI RMF and ISO 42001, while proactively managing emerging AI and data risks.

The manager works in close relationships with Data & AI engineering, Risk & Compliance, Legal and Business Units to translate policies into operational practices and embed a culture of responsible data and AI use. Reporting directly to the VP, Data and AI, this role plays a pivotal part in shaping the organization’s governance posture as it scales its AI capabilities and navigates on evolving regulatory landscape.

Key Job Functions

• Strategy & Framework Design

  • Lead the design, implementation, and continuous improvement of the enterprise Data & AI Governance framework, aligned to DCAM maturity levels, NIST AI RMF core functions, and ISO 42001 requirements.
  • Own & Direct the development and lifecycle management of data governance policies, AI governance standards, data quality rules, and metadata management practices across all business domains.
  • Partner in driving the organization's AI governance roadmap, ensuring AI systems are inventoried, risk-classified, and governed through structured review and approval processes prior to deployment.
  • Define and maintain a clear governance operating model, including data stewardship accountabilities, decision rights, escalation paths, and governance council structures.
  • Explore and integrate emerging technologies, including AI, to streamline governance workflows, improve metadata curation and strengthen quality and compliance monitoring.

  Risk, Compliance & Regulatory Alignment

  • Ensure ongoing alignment with FHFA and other relevant regulations and emerging AI-specific regulatory requirements across all jurisdictions of operation.
  • Partner with Risk, Compliance, Legal, and Internal Audit teams to identify data and AI-related risks, define controls, and ensure gaps are tracked and remediated in a timely manner.
  • Monitor the organization's DCAM assessment scores and NIST AI RMF profile, conducting periodic gap analyses and preparing executive-level maturity reports for the VP, Data & AI and senior stakeholders.
  • Champion responsible and ethical AI practices, including fairness, explainability, transparency, and accountability requirements in alignment with ISO 42001 and internal AI ethics principles.

  Data Quality & Stewardship

  • Establish and embed enterprise data quality standards and measurement frameworks, working with Data Stewards across business domains to drive accountability and remediation.
  • Oversee data classification, critical data element identification, metadata management, and Collibra DIC management to ensure consistent governance across all data domains.
  • Facilitate the Data Governance Council and domain stewardship forums, preparing agenda, tracking actions, and ensuring governance decisions are documented and communicated effectively.

  Stakeholder Engagement & Culture

  • Collaborate with senior leaders across Business, Finance, Risk, Technology, and Legal & Compliance to gain buy-in, embed governance accountabilities, and resolve cross-functional data and AI governance issues.
  • Advocate for a data-literate and AI-responsible culture by developing awareness programs, training curricula, and communication strategies that build governance knowledge across the organization.
  • Influence product and technology decisions by providing governance counsel during the design and procurement of data systems, AI platforms, and third-party AI tools.

  Team Leadership & Development

  • Manage & Develop a high-performing team of five governance professionals, setting clear objectives, providing coaching, conducting performance reviews, and fostering an inclusive and collaborative team culture.
  • Allocate team capacity and resources effectively across governance tasks and initiatives, ensuring delivery against agreed milestones and outcomes.
  • Mentor team members on data governance methodologies, AI risk concepts, and industry frameworks to build internal capability and career growth.
  • Develop and manage the annual budget for the data governance team, optimizing investment across tools - for example metrics dashboard, AWS expenses, training etc.

  Reporting & Performance Metrics

  • Define and maintain a suite of governance KPIs and KRIs (e.g., data quality scores, AI risk incident rates, policy compliance rates, stewardship coverage) reported to the VP, Data & AI on a regular basis.

QUALIFICATIONS

Education   

• Bachelor’s degree or equivalent required 

Minimum Experience  

• Minimum 8 years of progressive experience in data governance, data management, AI governance, or risk & compliance roles, with at least 3 years in a leadership or management capacity.
• Minimum 3 years of direct people management experience.
• Minimum of 1 year of experience designing and implementing enterprise-wide AI governance frameworks.
• Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer sponsorship for this position.

Specialized Knowledge & Skills     

• Demonstrated experience designing and implementing enterprise-wide data governance frameworks using DCAM, NIST AI RMF, ISO 42001, or equivalent standards.
• Proven track record of managing governance programs in a regulated financial services environment.
• Experience leading cross-functional governance initiatives and operating governance bodies such as Data Councils, AI Review Boards, or Stewardship Forums.
• Hands-on experience with data governance tooling (e.g., Collibra, Alation, Microsoft Purview, or similar) and familiarity with AI/ML lifecycle management platforms.
• Strong people management skills with a demonstrated ability to build, lead, and retain high-performing teams in a matrix organization.
• Excellent stakeholder management and communication skills, with the ability to influence senior executives and translate governance concepts into business value.

Pay Range $181,000 to $205,500

U.S. FinTech's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) a candidate’s qualifications, skills, competencies, and experience, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. U.S. FinTech offers a competitive total compensation package, which includes a performance bonus, 401k match, healthcare coverage, PTO, and a broad range of other benefits.

Employment

As a condition of employment with U.S. Financial Technology, any successful job applicant will be required to  successfully complete a background investigation, which may also include a credit check for positions in some areas of our business.   

U.S. Financial Technology is an Equal Opportunity Employer.

##LI-Remote

About Accenture

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

About this role

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.

Aladdin Financial Engineering (AFE)

AFE is a diverse and global team with a keen interest and expertise in all things related to technology and financial analytics.  The group is responsible for the research, development, and adoption of quantitative financial and behavioral models and tools across many different areas – single-security pricing, prepayment models, risk, return attribution, liquidity, optimization and portfolio construction, scenario analysis and simulations, covering all asset classes. The group is also responsible for the technology platform that delivers those models to our internal partners and external clients, and their integration with Aladdin.

We are seeking a hands-on Quantitative Associate to join the Portfolio Risk team within AFE. This role is ideal for someone who enjoys working deeply with data and code, has strong attention to detail, and is motivated to build practical, production-ready risk models and analytics used by real investment professionals. 

This is an individual contributor role focused on quantitative research, model development, testing, and implementation. Formal project management responsibilities are not required, but the role does require strong ownership of work, critical thinking, and the ability to collaborate effectively with researchers, engineers, and stakeholders across regions. 

The Portfolio Risk team develops and maintains a broad set of analytics, including: 

• Multi-factor Linear risk models 

• Value-at-Risk (VaR) methodologies 

• Volatility and covariance matrix estimation 

• Portfolio stress testing and scenario analysis 

These models are widely used across Aladdin and directly influence investment and risk management decisions. As a result, the team places strong emphasis on model rigor, governance, scalability, and transparency. 

This role also offers the opportunity to contribute directly to the team’s AI transformation journey, particularly in applying AI and automation to modernize and scale model governance workflows. 

What You Will Do 

• Research, design, and back-test portfolio risk models using Python-based infrastructure 

• Work hands-on with large and complex financial datasets, ensuring data quality and robustness of results 

• Collaborate closely with software engineers to test, productionize, and maintain models 

• Support existing models in production, including investigation and resolution of model-related questions from internal stakeholders and clients 

• Develop and enhance testing, validation, back-testing, and quality-control frameworks 

• Contribute to the team’s AI transformation journey, with a focus on applying AI, ML, and automation to model governance processes, such as: 

• Model validation and back-testing 

• Testing and quality control 

• Documentation and reproducibility checks 

• Research-to-production code migration 

• Clearly document and communicate model assumptions, results, and limitations to both technical and non-technical audiences 

Skills & Qualifications:   

• Master’s degree (e.g., MFE) or PhD in a quantitative field such as Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering 

• Strong hands-on programming experience, primarily in Python (R a plus) 

• Experience working with large datasets and applying statistical, econometric, or quantitative techniques 

• Solid understanding of financial markets, financial products, and basic economics 

• Strong analytical and problem-solving skills with high attention to detail 

• Clear written and verbal communication skills in English 

• Ability to work effectively in a collaborative, team-oriented environment 

Competencies:  

• Critical thinking and intellectual curiosity 

• Strong ownership of work and accountability for quality 

• Ability to translate complex quantitative ideas into practical, usable solutions 

• Comfort working across disciplines (quant research, engineering, risk, product) 

• Interest in building robust, scalable, and well-governed analytical systems 

• Innovative thinking balanced with sound judgment and practicality 

Is a plus… 

• Exposure to machine learning and AI techniques, particularly as applied to financial or time-series data 

• Experience applying AI, ML, or automation to model lifecycle and governance workflows, such as validation, back-testing, testing, monitoring, documentation, or code migration 

• Knowledge of fixed income and/or equity risk factor models 

• Understanding of portfolio theory and risk analytics 

• Experience designing rigorous testing and back-testing frameworks 

• Familiarity with building scalable and repeatable research or modeling processes 

• Strong software engineering practices (clean, well-tested code) 

• Experience with Unix/Linux and Git 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email [email protected]. All requests are treated in line with our privacy policy.

Address:

Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.

• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Provides strategic input into business decisions as a trusted advisor.
• Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
• Acts as a subject matter expert on relevant regulations and policies.
• May network with industry contacts to gain competitive insights and best practices.
• Interprets new regulations and assesses impacts to the program / portfolio validation framework.
• Influences and negotiates to achieve business objectives.
• Identifies emerging issues and trends to inform decision-making.
• Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
• Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
• Measures the effectiveness of validation and monitoring framework; recommends changes as required.
• Conducts independent analysis and assessment to resolve strategic issues.
• Acts as the prime subject matter expert for internal/external stakeholders.
• Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations.
• Ensures alignment between stakeholders.
• Designs and produces regular and ad-hoc reports, and dashboards.
• Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
• Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
• Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
• Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
• Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
• Leads the research and development for validation of new types of models.
• Leads and integrates the monitoring, measurement & reporting of the status of the model validation program / portfolio to internal & external stakeholders.
• Provides input into the planning and implementation of ongoing operational programs in support of the model vetting framework and portfolio.
• Leads in the design, implementation and management of core business/group processes.
• Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
• Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
• Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
• Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
• Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
• Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
• Builds effective relationships with internal/external stakeholders.
• Ensures alignment between stakeholders.
• Monitors and tracks performance; addresses any issues.
• Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

  Qualifications:

• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• In-depth / expert knowledge and understanding of model validation, model risk management practices.
• In-depth / expert knowledge of regulatory requirements.
• In-depth / expert knowledge & experience with risk policy frameworks; quality control / testing frameworks.
• Seasoned professional with a combination of education, experience and industry knowledge.
• Verbal & written communication skills - In-depth / Expert.
• Analytical and problem solving skills - In-depth / Expert.
• Influence skills - In-depth / Expert.
• Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
• Able to manage ambiguity.
• Data driven decision making - In-depth / Expert.

Knowledge:

• 5+ years of experience in AML, fraud or marketing campaign model validation, model development or a related position; or equivalent experience in credit risk models
• Outstanding knowledge and relevant training in data mining, machine learning, and various statistical analysis techniques, with demonstrated experience pertaining to machine learning/statistical modeling.
• Experience in supervising or coaching junior team member(s) 
• In-depth knowledge of industry best practices and understanding of AML regulatory requirements and the evolvement of in the regulations in AML, fraud and lending practices across jurisdictions.
• Good Knowledge of the bank’s different lines of business and various products offered.

• Skills:

• Analytical, detail-oriented, well-organized, highly self-motivated with good interpersonal skills
• Good ability of conflict-solving and to collaboratively work with first line model owner and developers.
• Proficiency in statistical and database modeling tools, particularly Python, SAS, R, SQL, Access/VBA, etc.   
• Effective time management skills and multi-tasking skills to effectively deliver concurrent projects with completing timelines.
• Ability to supervise and lead junior team members to complete complex projects.
• Strong written and verbal communication skills; skilled at explaining complex concepts ad processes in simple language

• Education and Accreditations:

• An advanced degree (Maters, PhD) in a quantitative discipline, ideally in mathematics, statistics, computer science or engineering

Main Responsibilities include but not limited to:

Model validation (60%)

• Support the Director of Behavioral Analytics Model Validation in the development and execution of overall validation work plan
• Independently validate and/or guide junior analyst(s) to validate new and existing AML, Fraud and other customer behavioral analytics models with a concentration on models used for BMO Canada, US and international lines of business. 
• Ensure the assigned validation projects are completed within required timeline and in compliance with the model risk management framework requirement.
• Provide effective challenge and communicate identified model risk to the first line model owners and developers to ensure the risk are well understood and mitigation actions are taken; escalating where necessary to senior management.
• Provide consultancy to the senior management and first line model owner and developer regarding the technical model issues of the AML and fraud models.
• Report writing and model inventory data attributes maintenance.
• Keep abreast of latest development in financial crime and AI/ML modeling techniques.

Managerial Leadership (25%)

• Host regulator update meeting on assigned projects to both MV senior management and the first line model owners and developers.
• Provide day-to-day supervision and training to the junior analyst, and review work completed by the reporting analyst before the draft report and recommendation are submitted to MV Director for approval
• Support the MV director to identify and implement improvement to work, process and systems to ensure operational effectiveness. 
• Support various ad-hoc reporting requests from senior management, internal audit and regulators
• Manage HR administration requests of the junior analyst

Governance (15%)

• Assist the MV Director to ensure all models covered by the team meet the requirement of the Enterprise Model Risk Management Framework, e.g., all AML and fraud models used by the bank are validated and approved and issues identified are mitigated properly.  
• Support the MV Director to ensure all validation review work is conducted in accordance to defined model validation process, and in compliance with all bank and regulatory requirements. 

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

About Accenture

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Address:

Job Family Group:

Role Summary

The Control Tester and Advisor – Data & AI Governance is responsible for executing and leading control testing activities and providing risk and control advisory support related to Data Governance and AI Governance.

This role assesses design effectiveness and operating effectiveness of controls, performs end-to-end process walkthroughs, analyzes governance artifacts, and identifies, documents, and communicates control issues. In addition, the role partners with business, technology, and risk teams to provide advisory support on risk identification, control design, process improvements, and risk assessment activities related to data and AI governance.

The role requires strong testing judgment, the ability to develop and execute test steps, and the ability to provide practical, risk-based advice while maintaining independence and objectivity.

Key Responsibilities

Control Testing & Assessment

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls.
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
• Perform reperformance testing, sampling, and evidence validation to assess control execution.
• Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk.

Advisory, Risk & Control Support

• Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance.
• Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations.
• Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage.
• Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes.
• Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks.
• Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles.

Process Understanding & Walkthroughs

• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities.
• Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews.
• Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities.

Artifact Review & Analysis

• Analyze and assess business and governance artifacts, including:
  • Data governance policies, standards, and procedures
  • Data lineage, metadata, and data quality documentation
  • AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence)
• Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation.
• Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations.

Issue Identification, Risk Insight & Communication

• Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis.
• Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact.
• Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations.
• Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner.

Stakeholder, Business & Risk Partner Engagement

• Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas.
• Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches.
• Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance.
• Contribute to continuous improvement of Data & AI governance testing and advisory practices.

Documentation & Quality

• Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions.
• Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.

Qualifications

Required

• 3–5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions.
• Demonstrated experience performing control design and operating effectiveness testing.
• Experience supporting or contributing to risk assessments and control evaluations.
• Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts.
• Strong written and verbal communication skills, including issue write-ups and advisory discussions.

• Required: CISA, CRISC or CGRC. Preferred: CDMP or AIGP

Preferred

• Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.
• Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks.
• Experience balancing independent testing responsibilities with advisory and consultative support.

Salary:

Pay Type:

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Job Description:

Role Title: Analyst, Model Monitoring (L8)

Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

• We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

• We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

• We provide career advancement and upskilling opportunities for all to take up leadership roles.

Organizational Overview:

Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth

Role Summary/Purpose:

The Analyst, Model Monitoring is a role (Individual Contributor) within the India Analytics Hub (IAH), operating under the Decision Management vertical and plays a critical role in the post-deployment monitoring of credit and decision models across the enterprise. This individual is responsible for executing performance tracking routines, developing dashboards, supporting performance investigations, and collaborating with model owners and risk stakeholders to ensure models remain accurate, explainable, and compliant. This role will support the team by applying advanced analytical skills and a working knowledge of model governance standards to help uphold the integrity of the model risk management lifecycle.

Essential Responsibilities

·         Perform model monitoring activities for credit, customer, and non-customer decision models, including tracking of KPIs, stability metrics, and performance degradation indicators.

·         Create and maintain dashboards and reports that communicate performance trends, trigger alerts, and highlight potential model concerns.

·         Collaborate with model developers, owners, and validators to support timely issue investigation, remediation planning, and documentation updates.

·         Support the development and maintenance of monitoring frameworks, including stability thresholds, performance benchmarks, and early warning indicators.

·         Assist with the automation of recurring monitoring tasks using scripting (e.g.,  SAS, Python, SQL) and workflow tools.

·         Document model performance summaries, trend analyses, and key monitoring artifacts in accordance with model risk policies.

·         Prepare inputs for model risk reports, audit reviews, and regulatory requests, ensuring traceability and completeness of monitoring evidence.

·         Contribute to the adoption of MLOps best practices and explainability techniques (e.g., SHAP, LIME) to enhance monitoring transparency and trust.

·         Participate in cross-functional working sessions to evaluate monitoring outcomes and support continuous improvement initiatives.

Eligibility Criteria:

·         Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 1+ years’ experience OR, in lieu of degree, and 3+ years of relevant work experience in model analytics, monitoring and validation

Required Skills & Knowledge

·         1+ years of experience in model analytics, monitoring, validation, or development within a financial services environment.

·         Strong technical proficiency with data manipulation and analysis tools such as Python, SQL, R, or SAS.

·         Experience with data visualization tools like Tableau, Power BI, or similar platforms to create actionable performance dashboards.

·         Working knowledge of performance drift metrics, stability indicators, and key model health metrics.

·         Ability to translate technical findings into clear, concise documentation for non-technical audiences.

·         Experience with monitoring automation or process efficiency initiatives is a plus.

·         Ability to manage multiple models or monitoring streams independently, with a high attention to detail and quality.

Desired Skills & Knowledge

·         Strong problem-solving and critical thinking skills, especially when interpreting complex performance trends or ambiguous signals.

·         Solid communication and stakeholder engagement skills, with the ability to present findings in a structured and compelling manner.

·         Proactive and collaborative mindset, with experience working in cross-functional model risk or analytics teams.

·         Interest in staying current with emerging monitoring tools, AI/ML observability practices, and explainability techniques.

·         Exposure to regulatory or audit interactions related to model performance monitoring or documentation

·         Strong Familiarity with model governance frameworks, regulatory expectations, and internal audit processes (e.g., SR 11-7 compliance, MRM policies). 

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

• Understand the criteria or mandatory skills required for the role, before applying

• Inform your manager or HRM before applying for the role on Workday

• Ensure that your professional profile is updated (fields such as education, prior experience, skills) and it is mandatory to upload your updated resume (Word or PDF format)

• Must not be any corrective action plan (First Formal/Final Formal, PIP)

• Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible

• L6+ Employees can apply

Grade/Level: 8

Job Family Group:

At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships.  We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career.

At Brown Brothers Harriman, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens, and steps outside their role to add value wherever they can.  Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client’s financial well-being.

If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you.

Join us as a Model Risk Senior Analyst

Brown Brothers Harriman is currently recruiting a Model Risk Senior Analyst to join the Enterprise Model Risk Management (EMRM) team. EMRM is a multi-disciplinary team within Operational Risk that uses applied concepts in econometrics, financial forecasting, balance sheet management, capital liquidity, and financial regulatory requirements management to evaluate firm-wide models, machine learning algorithms, and Gen-AI use cases.  The team also plays a key role in the Firm’s AI governance framework.

In this role you will be part of a dynamic team independently evaluating models supporting a variety of business activities such as anti-money laundering and sanctions compliance screening, financial and investment risk management, and Gen-AI-enabled processes. You will have the opportunity to work closely with business teams and technical support functions covering a broad range of activities and technologies, including high-profile strategic initiatives with exposure to senior leadership.

The role requires a detail-oriented and analytical thinker with a background in computer programming and/or mathematics with the knowledge and skills to decompose, evaluate, and interpret the functionality of various computational models.  The position requires understanding of computer programming, quantitative modeling, and the ability to grasp risk management principles.

Some of your key responsibilities include:    

• Lead and/or contribute to model validation engagements, including scoping, test planning, milestones, and stakeholder coordination.
• Design and execute validation testing to assess model performance and controls.
• Interpret testing results, identify issues, and develop clear, actionable observations and recommendations.
• Draft validation reports and executive summaries for senior audiences and Oversight Committees.
• Oversee tracking and monitoring of remediation activities.
• Ensure project documentation is consistent with EMRM standards for content, clarity, and auditability.   
• Recommend enhancements to Model Risk policies, procedures, and standards.
• Contribute to evolving Gen-AI and LLM-focused model validation methodologies.
• Build effective working relationships across business, compliance, and technology teams.

 Qualifications

• Bachelor’s degree and a minimum of 8 years of experience in computer science (or relevant field) Master’s degree preferred;
• Demonstrated programming skills in languages such as Python, R, SQL for data modeling;
• Experience in data analysis techniques and metrics; knowledge of relational database technologies using SQL is a plus;
• Working knowledge with Python, R, SQL, or low/no-code/LLM tools for data modeling and/or large-scale data analysis projects;
• Strong writing and experience briefing technical findings.

 What We Offer:

• A collaborative environment that enables you to step outside your role to add value wherever you can.
• Direct access to clients, information, and experts across all business areas around the world.
• Opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm.
• A culture of inclusion that values each employee’s unique perspective.
• High-quality benefits program emphasizing good health, financial security, and peace of mind.
• Rewarding work with the flexibility to enjoy personal and family experiences at every career stage.
• Volunteer opportunities to give back to your community and help transform the lives of others.

 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.

Salary Range

MA: $100,000 - $150,000 base salary + annual target bonus

BBH and its affiliates' compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck—providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being. 

We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn’t followed a traditional path, includes alternative experiences, or doesn’t meet every qualification or skill listed in the job description, please do go ahead and apply.

About BBH:

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development—so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice—creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another. 

We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often—pushing the boundaries of innovation.  As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

Address:

About the Role

We are seeking a detail‑oriented and analytically strong Non‑Model Risk Reviewer to support the independent review, challenge, and governance of non-model tools used across the organization. These tools include quantitative calculators, automated spreadsheets, decision rules, pricing tools, scenario generators, and other processes that inform business decisions but do not meet the definition of a formal model under enterprise Model Risk policies.

This role ensures these tools are fit for purpose, accurate, well‑controlled, and compliant with internal standards.

Key Responsibilities

1. Independent Review & Validation

• Conduct independent assessment of non-model tools, including calculators, spreadsheets, rules-based engines, decision aids, and vendor utilities.
• Evaluate conceptual soundness, design logic, assumptions, and inputs/outputs.
• Perform replication testing, benchmarking, and sensitivity analysis where appropriate.
• Assess the adequacy of documentation, governance, change controls, and user access.

2. Risk Assessment & Classification

• Determine risk tiering (e.g., high, medium, low) of non-model tools in accordance with enterprise standards.
• Identify inherent risks (operational, data, implementation, usage).
• Assess compensating controls and make recommendations for risk mitigation.

3. Governance & Policy Compliance

• Ensure compliance with the enterprise Non‑Model Risk Framework, Model Risk Policy, and Operational Risk Standards.
• Provide effective challenge to tool owners, developers, and business partners.
• Maintain accurate inventory records and lifecycle management documentation.

4. Reporting & Communication

• Prepare clear and concise review reports, issue logs, and remediation recommendations.
• Communicate findings to developers, business owners, risk committees, and senior management.
• Track remediation progress and perform closure verification.

Qualifications

Required

• Bachelor’s degree in Finance, Mathematics, Engineering, Computer Science, Economics, or related field.
• Strong analytical ability and attention to detail.
• Experience reviewing spreadsheets, calculators, or rules-based tools.
• Familiarity with operational risk or model risk governance principles.
• Strong communication and documentation skills.

Preferred

• 2+ years’ experience in Risk Management, MRM, Audit, or a quantitative/business analytics function.
• Knowledge of tool validation, model validation, or internal audit methodologies.
• Proficiency in Excel/VBA, Python, SQL, or other analytical tools.
• Understanding of data quality, controls, and system implementation testing.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Senior Staff Data Scientist - Gen AI, Model Validation

• You are passionate about cutting edge Gen AI tools and validation space
• We are leading the world in AI ambition being Australia's largest bank!
• Together, we create the future of banking with innovative AI solutions.

Do Work That Matters:

Are you ready to shape the future of model risk management in one of Australia’s leading financial institutions? At CommBank, we’re looking for a Senior Staff Data Scientist, AI & General Model Validation who blends deep technical expertise with strategic leadership to ensure our models are robust, reliable, and ready for the future.

See yourself in our team:

At CBA, our Model Risk & Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank.

As a key member of our Model Risk & Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, guiding them to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.

Your core responsibilities will include:

• Model Validation & Technical Leadership – Design and execute comprehensive validation plans to assess model performance, compliance, and risk.
• Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment. Present insights to internal technical forums, governance committees and/or regulatory meetings.
• Strategic Transformation & Continuous Improvement – Embed AI best practices into business strategies; develop and integrate AI-driven tools to enhance model development/validation quality and speed.
• Team Leadership & Mentorship – Mentor and guide team members, fostering a collaborative and inclusive culture and champion modern analytics tooling and promote best practices in technical communication.

We are interested in hearing from people who have:

• Demonstrated experience developing, evaluating and/or validating ML/AI, Gen-AI and/or statistical-based models
• Relevant experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., LangChain, LangGraph)
• Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and PyTorch; familiarity with version control (GitHub)
• Experience with project planning and task allocation for project-based teams
• Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.
• Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.
• Degree qualified in Statistics, Data Science, Computer Science, Actuarial Science, or a related field – or equivalent industry experience.

Working with us

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you. At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. Read more about our commitment to inclusion and diversity on our careers website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are working hard to recruit people who represent the diversity of our customers and our society. If you're excited about this opportunity but you don't meet every single requirement, or your experience doesn't align perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

At CommBank we will inspire you with work that makes a difference, surround you with talented people that respect and value each other, and empower you to grow professionally and personally. Most of all, making a positive impact for customers, communities and each other is part of our every day.

We’re determined to make a real difference for Australia’s first peoples. We encourage all interested applicants to apply. If you’re already part of the Commonwealth Bank Group (including BankWest), you’ll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

APPLY NOW to live your best life and do your best work with us!

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. 

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

Experience Level - Manager/Expert

Recruiter - Helen Simons

What we offer:

At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:

• As a savings and Investments firm we are proud to offer a valuable pension scheme of 18%, with 13% made up of Employer Contributions and 5% Employee Contributions. We also offer Share Save and our Share Incentive Plan, together with access to financial wellbeing and support services - to help give you real confidence to put your money to work.

• Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.  

• Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave - as supporting families is a core aspect of our inclusive culture.

• Health & Protection cover including Private Healthcare, Critical Illness cover and Life Assurance for you, with family options - for peace of mind.

To explore more about life at M&G and our full benefits offering, visit Life at M&G

We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader, and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. 

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at: [email protected]

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What You’ll Be Doing

The Enterprise AI Governance Office (AIGO) within the Enterprise Advanced Analytics and AI Hub at CIBC is responsible for ensuring that all AI activities at CIBC are governed in accordance with the Enterprise AI Framework and its associated processes and standards. AIGO develops, operationalizes, and continuously improves AI governance practices to manage AI-related risks, ensure regulatory readiness, and enable responsible innovation across the bank.

The Consultant, Enterprise AI Governance role involves supporting CIBC’s AI risk management practices by conducting and reviewing AI risk assessments, developing effective AI risk mitigation plans in partnership with business teams and other risk control groups, and by providing AI risk advisory services to the enterprise. The position will be responsible for ensuring that all AI solutions across the organization are appropriately risk-assessed, as required by the Enterprise AI Framework. The Consultant will work collaboratively with technology and business teams, control groups, audit, and oversight bodies to ensure that all CIBC AI Governance requirements are adhered to and are effective in managing AI-related risks.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How You’ll Succeed

• Champion Trustworthy AI in solving business problems - Work with business units to understand their AI Governance needs, opportunities, and pain points. Work with risk and control teams to ensure AI related risks are adequately managed. Focus on relationship building and become a trusted partner for AI Governance within the bank. Contribute to the development of AI risk management thought leadership and related educational resources both within the organization and externally.

• Ensure AI Solutions are managed and delivered in a governed manner - Work with AI development, technology, and risk/control/compliance teams in identifying, assessing, and mitigating AI-related risks in accordance with AI risk management best practices, tools and techniques to comply with governance requirements and accelerate CIBC’s leadership in ethical and responsible use of AI. Develop AI-related risk mitigation controls with key partners and assist with ongoing risk reporting and risk reviews for the Enterprise.

• Translate Research into Actionable Insights - Monitor, research, and report on the latest trends and developments around AI risk management. Help ensure that all AI risk management processes, tools, and techniques are inclusive of the requirements necessary to meet the growing demands and advancements in AI by suggesting and making changes to the current state.

• Ignite Innovation, Drive Execution - Work as an internal consultant to drive results through the application of "governed" AI solutions. Provide support and help drive adoption of AI Governance across the organization by developing strategy and success metrics. Manage and participate in all AI Governance related bodies and committees.

Who you are

• You demonstrate technical fluency in AI/ML. You understand predictive modeling, NLP, computer vision, and generative AI, and you’ve worked across the production lifecycle assessing controls and evidence in regulated environments.

• You securely navigate AI risk frameworks and regulation. You’re fluent with NIST AI RMF, ISO/IEC AI risk standards (e.g., 23894, 42001), and model risk expectations in financial services, and you translate them into pragmatic, auditable controls.

• You uphold Trustworthy AI as a core principle. You apply data protection, fairness and bias mitigation, explainability, security-by-design, and third‑party risk practices to safeguard clients and the bank, and to support positive outcomes for society.

• You communicate with clarity and influence across diverse stakeholders. You distill complex topics clearly for diverse audiences, build strong partnerships, and drive outcomes through stakeholder management and influence without formal authority.

• You value professional accreditation and relevant education. You hold a degree in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics, Risk Management). Certifications such as IAPP AIGP, ISO/IEC 42001, ISO/IEC 23894, CertNexus CEET, IEEE CertifAIEd, or IAPP CIPT are assets.

• Values matter to you. You bring your authentic self to work and live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Employment Type

Weekly Hours

Skills

Address:

Role Summary

The Control Tester and Advisor – Data & AI Governance is responsible for executing and leading control testing activities and providing risk and control advisory support related to Data Governance and AI Governance.

This role assesses design effectiveness and operating effectiveness of controls, performs end-to-end process walkthroughs, analyzes governance artifacts, and identifies, documents, and communicates control issues. In addition, the role partners with business, technology, and risk teams to provide advisory support on risk identification, control design, process improvements, and risk assessment activities related to data and AI governance.

The role requires strong testing judgment, the ability to develop and execute test steps, and the ability to provide practical, risk-based advice while maintaining independence and objectivity.

Key Responsibilities

Control Testing & Assessment

• Execute design effectiveness (DE) and operating effectiveness (OE) testing of controls related to Data Governance and AI Governance, including data quality, data management, AI lifecycle governance, and ethical AI controls.
• Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
• Perform reperformance testing, sampling, and evidence validation to assess control execution.
• Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk.

Advisory, Risk & Control Support

• Provide risk, control, and process advisory support to business and technology partners related to Data and AI governance.
• Advise on control design, control enhancements, and process improvements to address identified risks or emerging governance expectations.
• Support and provide input into risk assessments, including identification of inherent risks, evaluation of mitigating controls, and assessment of control coverage.
• Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes.
• Offer guidance on data and AI governance best practices, including alignment to internal policies, standards, and risk frameworks.
• Support proactive risk management efforts by identifying potential control weaknesses or governance gaps outside of formal testing cycles.

Process Understanding & Walkthroughs

• Lead and conduct walkthroughs with control owners and stakeholders to understand end-to-end processes related to in-scope control activities.
• Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews.
• Develop and maintain a working understanding of how data and AI controls operate within business and technology processes, enabling both testing and advisory activities.

Artifact Review & Analysis

• Analyze and assess business and governance artifacts, including:
  • Data governance policies, standards, and procedures
  • Data lineage, metadata, and data quality documentation
  • AI governance artifacts (e.g., model lifecycle documentation, approvals, monitoring evidence)
• Evaluate whether artifacts sufficiently demonstrate control design, operating effectiveness, and risk mitigation.
• Provide advisory feedback to stakeholders where artifacts or documentation do not fully support risk and control expectations.

Issue Identification, Risk Insight & Communication

• Identify, document, and clearly articulate control deficiencies, design gaps, and operating issues, including root cause analysis.
• Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact.
• Provide actionable, practical recommendations that balance risk mitigation with business and operational considerations.
• Communicate testing results, risk insights, and advisory recommendations to stakeholders in a clear and professional manner.

Stakeholder, Business & Risk Partner Engagement

• Act as a primary testing and advisory contact for business partners, technology teams, and risk partners for assigned areas.
• Partner with stakeholders to clarify control intent, evidence expectations, risk ownership, and remediation approaches.
• Support ongoing governance forums, working groups, or risk discussions related to Data and AI governance.
• Contribute to continuous improvement of Data & AI governance testing and advisory practices.

Documentation & Quality

• Create and maintain high-quality testing and advisory documentation, including workpapers, test scripts, walkthrough notes, risk assessments, and conclusions.
• Ensure work meets quality standards, methodology requirements, and service level expectations while maintaining appropriate independence.

Qualifications

Required

• 3–5 years of relevant experience in control testing, risk management, audit, governance, or advisory functions.
• Demonstrated experience performing control design and operating effectiveness testing.
• Experience supporting or contributing to risk assessments and control evaluations.
• Strong analytical skills with the ability to interpret complex governance, risk, and technical artifacts.
• Strong written and verbal communication skills, including issue write-ups and advisory discussions.

• Required: CISA, CRISC or CGRC. Preferred: CDMP or AIGP

Preferred

• Experience in Data Governance, AI Governance, Model Risk Management, or Technology Risk.
• Familiarity with data management concepts, AI/ML model lifecycles, and governance frameworks.
• Experience balancing independent testing responsibilities with advisory and consultative support.

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Managing Director / Senior Director – Cybersecurity Transformation & AI Security

at Tevora

Irvine, CA, or Fairfax, VA

If you haven't heard of Tevora, it's because we've done our job!

Tevora is a tight-knit community of professionals with a shared passion for our craft. Every day, we combine in-depth knowledge of cybersecurity, technology, and compliance to help create more secure digital environments. To Tevorans, every problem is a puzzle in need of solving. We strongly believe that if we put smart, driven people in a room together, they will accomplish great things. We maintain a supportive culture that celebrates continuous learning, diverse perspectives, and sharing the wins. That's why we have our eyes on you.

What's the role?

As organizations adopt AI technologies and next-generation security platforms, many are rethinking how their cybersecurity programs operate. Tevora is expanding its advisory capabilities to help enterprises modernize their security programs through automation, AI-enabled capabilities, and modern operating models.

We are seeking a senior consulting leader to help grow our Cybersecurity Transformation practice, working with large enterprise organizations on multi-year security transformation initiatives.

The Managing Director of Cybersecurity Transformation works directly with CISOs and executive leadership to design and lead enterprise cybersecurity transformation programs.

This role focuses on helping organizations modernize their security capabilities through:

• cybersecurity operating model transformation
• AI-enabled security automation
• SOC modernization and next-generation security operations
• enterprise cybersecurity roadmaps
• AI governance and risk management

Who we are looking for

State Street’s Model Risk Management (MRM) function is seeking a Quantitative Analyst to join its Model Validation team based in Boston, MA. The Quantitative Analyst will participate in model validation to ensure model risks are correctly identified, assessed, and managed.

Why this role is important to us

The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen, we need talented individuals like you. In this role, you will strive for cutting-edge solutions that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.

What you will be responsible for

As Quantitative Analyst, Assistant Vice President you will:

• Perform validations on models such as market risk, counterparty credit risk and trading algo models

• Interpret and apply regulatory requirements, such as Basel and CCAR, while staying current with developments in academic research, industry practices, and evolving regulatory expectations.

• Analyze large-scale datasets using statistical techniques and machine learning methods to support model validation and performance assessment

• Conduct quantitative analysis to evaluate and quantify model risks

• Communicate with model developers and business to relay the issues and feedback and capture the action plans

• Present results of model validation work to senior management and making recommendations for improvements

Job Qualifications:

• MS or PhD in a quantitative discipline (e.g. Finance, Statistics, Economics, Mathematics, Computer Science / Engineering, software engineering or equivalents); senior positions require 2-3 years of model validation experience in a financial services firm

• Strong written and verbal communication skills

• Excellent quantitative modeling, analytical, research, and programming skills (e.g., MATLAB, R, Python, SAS, Stata, SQL)

• Strong project management skills exemplified by the ability to work independently on multiple projects and meet deadlines

Salary Range:

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

Discover more information on jobs at StateStreet.com/careers

Read our CEO Statement

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Summary

This position is responsible for the development and operation of our hybrid identity infrastructure (Microsoft Entra ID and Active Directory) and the security governance of enterprise AI tools. You will configure authentication, access policies, and data protection standards to ensure that AI applications (such as Microsoft Copilot and custom LLMs) are accessed securely and interact only with authorized data.

Duties and Responsibilities/Essential Functions

• Identity Infrastructure & Access Control
• Core IAM Operations: Manage and maintain Microsoft Entra ID (Azure AD) and on-premise Active Directory, including connect health, schema extensions, and trust relationships.  Development of auditing and reporting to business partners and stakeholders.
• Conditional Access: Design and enforce Conditional Access policies that specifically target high-risk sign-ins and restrict access to AI platforms based on device compliance and user location.
• SSO & Federation: Configure Enterprise Applications and SAML/OIDC integrations, ensuring strict authentication standards for third-party AI tools and SaaS platforms.
• AI Security Governance & Data Protection
• AI Access Governance: Implement entitlement management and access reviews to strictly control which users and groups have access to generative AI tools (e.g., Microsoft Copilot, ChatGPT Enterprise).
• Non-Human Identity Management: Secure and govern Service Principals, Managed Identities, and API tokens used by AI agents and automated workflows to prevent unauthorized privilege escalation.
• Data Labeling (Purview): Configure Microsoft Purview sensitivity labels and Data Loss Prevention (DLP) policies to prevent AI tools from ingesting or surfacing Restricted/Confidential internal data.
• Privileged Access & Monitoring
• Privileged Identity Management (PIM): Enforce Just-In-Time (JIT) access for administrative roles and monitor for unauthorized elevation of privileges related to AI infrastructure.
• Audit & Compliance: Monitor sign-in logs and audit trails for anomalous behavior involving AI applications, ensuring compliance with internal security frameworks.
• Lifecycle Management: Automate provisioning and de-provisioning workflows to ensure immediate revocation of access to AI tools upon employee departure.
• Training and Best practices:
• Coach team members on best practices in identity and access management, fostering a culture of security awareness and compliance

Qualifications

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.

• Bachelor’s degree in Computer Science, Information Technology or related field; or equivalent combination of education and experience
• IAM Experience: 4+ years of engineering experience with Microsoft Entra ID, Active Directory Domain Services (AD DS), and Group Policy.
• Data Governance: Hands-on experience with Microsoft Purview (Information Protection, Data Lifecycle Management) and DLP.
• AI Security Knowledge: Understanding of how to secure non-human identities (workload identities) and govern access to Large Language Models (LLMs) within an enterprise.
• Technical Skills: Proficiency in PowerShell scripting for automation and Microsoft Graph API.
• Networking: Solid understanding of DNS, DHCP, and VPN as they relate to authentication flows.

Preferred Qualifications

• Certifications: SC-300 (Identity and Access Administrator), SC-400 (Information Protection Administrator).
• Experience configuring "Entra Verified ID" or decentralized identity standards.
• Previous experience implementing guardrails for Microsoft 365 Copilot.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position.  Duties, responsibilities and activities may change at any time with or without notice.  Work beyond 40 hours per week may be required. 

Cirrus is dedicated to a drug free work environment promoting equal employment opportunity.  Qualified applicants will receive consideration for employment without regard to race, sex, national origin, color, age, disability, religion, pregnancy, veteran status, marital and family status, sexual orientation, receipt of public assistance, genetic information or any other characteristic protected by applicable law.

Our Benefits: Cirrus provides a range of exciting benefits, including:   

• 401(k) Plan: Dollar-for-dollar match up to 5% after 90 days, with 100% vesting.
• Employer-Paid Coverages: Group term life, short- and long-term disability insurance.
• Comprehensive Health Coverage: Medical, vision, dental, with additional dependent coverage options.
• Free Health Tracking: With rewards for meeting health goals.
• Generous PTO: 120 hours accrued within the first year.
• Employee Referral Bonus: For referring talented candidates.
• Career Development: Tuition reimbursement and professional growth opportunities.
• Exclusive Discounts: Access to partner and marketplace discounts.
• Community & Engagement: Company and employee clubs at various locations.

These benefits are designed to support your well-being, growth, and enjoyment at Cirrus!

About Wizard

Wizard is the top-performing AI Shopping Agent, delivering the best products from across the web with unmatched accuracy, quality, and trust.

The Role

We’re looking for a Data Scientist to own how we measure, understand and improve the accuracy of our AI agent. This role sits at the intersection of data science, machine learning and product and is focused on evaluation, experimentation and insight generation.  You won’t be building models but you will make sure they work in real world scenarios.  You will build the systems to measure what good looks like and partner closely with ML, AI Engineering and Product to continuously improve the agent’s performance.

What You’ll Do

• Define and evolve accuracy metrics across the full shopping experience (retrieval, ranking, recommendations and outcomes)
• Design and run experiments to measure improvements and regressions
• Build and maintain evaluation datasets, benchmarks and scoring frameworks
• Translate ambiguous product questions into clear, measurable hypotheses and analysis
• Partner with ML Engineers to validate model changes and guide iteration
• Identify failure modes and edge cases and drive improvements through data
• Create dashboards and reporting that make agent performance visible, trusted and actionable

What Success Looks like

• Clear, trusted accuracy metrics are consistently used across product and engineering
• A robust automated evaluation framework exists for both offline and live experiments
• Model and product changes are consistently measured before and after launch 

Ideal Background

• 4-6+ years in Data Science, ML Evaluation or Applied AI or similar roles
• Deep experience evaluating AI/ML systems (ranking, recommendations, LLMs, etc)
• Strong experience with experimentation (A/B testing, causal inference)
• Experience working on consumer products or user facing systems and exposure to marketplace or e-commerce systems
• Ability to translate messy problems into structured analysis and metrics
• Strong product mindset, you care about real user outcomes
• Clear communication with the ability to influence across engineering and product

Compensation & Benefits

The expected base salary range for this role is $225,000 - $280,000 USD, and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.

In addition to base salary, Wizard offers:

• Equity in the form of stock options
• Medical, dental, and vision coverage
• 401(k) plan
• Flexible PTO and company holidays
• Fully remote work within the United States
• Periodic company offsites and team gatherings

Wizard is committed to fair, transparent, and competitive compensation practices.

What is the opportunity?  

As an Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will execute and document validations of the Bank’s enterprise-wide credit risk rating systems and methodologies, with focus on Wholesale and Retail credit risk systems, including acquisition & account management models, as well as Wholesale, Retail, and Margin Lending AIRB parameters (Probability of Default (“PD”), Loss given Default (“LGD”) and Exposure at Default (“EAD”)) used in both regulatory and economic capital. You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems, acquisition & account management models and risk quantification validations.

What will you do? 

• Perform ongoing Wholesale and Retail credit risk systems including acquisition & account management models as well as parameters validations and provide insightful analysis of validation results

• Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes   

• Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, acquisition & account management models, as well as parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc.

• Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate

• Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders

• Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?

Must-have  

• Model development or model validation experience, preferably related to credit risk models used within the financial services industry. A strong understanding of credit risk modeling theories, principles and industry best practices.

• Strong conceptual, analytical, detailed oriented and problem-solving skills

• Strong computer skills – Python, SAS, SQL and Excel required; similar open-source programming languages (i.e. R, or Scala, PySpark) and code sharing solutions (Github) are essential

• Solid understand various data system structures/processes and how they affect the inputs and outputs of credit risk data. Comfortable working with large data sets

• Experience with artificial intelligence / machine learning modeling techniques as well as logistic regression modeling techniques; experience with Python modules used in training deep learning models (e.g. torch).

• Effective presentation and communication skills, with strong written capabilities essential. Strong consensus-building skills. Works well in teams

• Execute with urgency while maintaining quality and efficiency; adapt to shifting priorities, coupled with a sense of urgency

• Post graduate degree in a quantitative field of study (i.e. PhD, Master of Mathematical Finance, Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field).

Nice-to-have 

• Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments

• Experience with Hadoop, Spark and similar data storage and processing tools. Experience with deep learning methodologies. Familiar with Tableau or other data visualization tools

• Familiar with object-oriented programming concepts

• Exposure to credit risk system design and OSFI’s CAR guideline is a definite asset

• A strong understanding of RBC’s policies, procedures, systems, risk appetite, risk tolerance, strategies and the overall role of risk management within RBC is an asset.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

• Leaders who support your development through coaching and managing opportunities.

• Ability to make a difference and lasting impact.

• Work in a dynamic, collaborative, progressive, and high-performing team.

• A world-class training program in financial services.

• Opportunities to do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

#LI-Post

#TECHPJ

Job Skills

Additional Job Details

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

 AI Governance and Value Manager

Location – Dublin / Kilkenny

Reports to – Head of AI Strategy and Architecture

Glanbia Business Services

Join this dynamic team focused on delivering better nutrition for every step of life’s journey.

 The Opportunity

The AI Governance and Value Manager plays a pivotal role in enabling responsible, scalable, and value-driven AI adoption across the enterprise. This role combines strategic governance with hands-on engagement to ensure AI initiatives are aligned with business priorities, deliver measurable benefits, and adhere to ethical and regulatory standards.

Job Responsibilities

Use Case Management & Value Realisation:

• Manage the AI use-case intake funnel, ensuring ideas are captured, evaluated, and progressed through the pipeline.
• Track and report on benefits realisation, highlighting business impact and communicating success stories across the organisation.
• Maintain visibility across Data Squads to ensure alignment and progress.
• Jointly oversee the AI engineering team responsible for delivering selected AI solutions, ensuring alignment with governance standards and value-driven outcomes.

Business Engagement & Ideation

• Facilitate ideation sessions and workshops with business units to uncover high-value AI opportunities.
• Act as a catalyst for innovation, helping teams translate business challenges into AI-enabled solutions.
• Support prioritisation and readiness of use cases for development and deployment
• Continuously scan the horizon to understand where other organisations are getting value from AI and identify similar opportunities within Glanbia

Collaboration & Enablement

• Serve as a subject matter expert on AI governance and value delivery, guiding teams on best practices and strategic alignment.
• Partner with data scientists, engineers, and business leaders to ensure consistent and effective AI adoption.
• Work closely with the AI Strategy and Architecture lead to ensure governance and value frameworks support the broader AI vision.

Governance & Policy Ownership

• Develop and maintain AI governance frameworks, policies, and standards aligned with enterprise data and AI strategies.
• Lead reporting and engagement with Data Councils, ensuring transparency and accountability across AI initiatives.
• Oversee compliance with ethical AI principles, regulatory obligations, and data privacy requirements.
• Work closely with the AI Strategy and Architecture lead to align governance and operations with overall AI strategy.
• Coordinate risk assessments and model lifecycle governance in collaboration with Legal, Risk, and other stakeholders.

Operationalisation of AI:

• Translate AI governance frameworks into actionable processes and controls across business units.
• Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability.
• Support the deployment and monitoring or AI models in production environments.
• Collaborate with business teams to coordinate the delivery of prioritised AI use cases.
• Provide technical and operational guidance to ensure consistent adoption of AI practices.

Role Dimensions

Key Relationships/Customers

Qualification & Experience Requirements

• Bachelor's or Master's degree in a relevant field (e.g., Data Engineering, Computer Science, Information Technology), or equivalent experience.
• Certifications in AI Governance, Responsible AI, or Data Ethics (e.g., IAPP’s AIGP certification) are highly desirable

Professional Experience

• 5–8 years of experience in roles related to:
• AI/ML, data governance, analytics, or digital transformation.
• Delivering AI governance frameworks and operationalising AI solutions across business units.
• Proven track record in:
• Managing AI use-case pipelines and benefit realisation.
• Facilitating ideation workshops and translating business needs into AI opportunities.
• Collaborating with cross-functional teams including Legal, Risk, and Engineering

Technical and Strategic Skills

• Strong understanding of:
• AI lifecycle management, model governance, and MLOps practices.
• Ethical AI principles, regulatory frameworks (e.g., EU AI Act), and data privacy laws.
• Familiarity with enterprise platforms and tools such as Azure ML, SAP AI features, and Microsoft Copilot.
• Ability to assess feasibility and impact of AI use cases from both technical and compliance perspectives.

Leadership & Collaboration

• Experience in:
• Leading or co-managing AI engineering teams delivering enterprise AI solutions.
• Influencing stakeholders and aligning AI initiatives with strategic goals.
• Acting as a governance ambassador across business units and forums

Value & Impact Orientation

• Skilled in:
• Tracking and communicating benefits realisation of AI solutions.
• Developing dashboards and metrics to monitor AI performance and business impact.
• Driving adoption of AI governance standards and reporting to Data Councils

Key Technical & Leadership Capabilities

TECHNICAL CAPABILITIES & SKILLS

LEADERSHIP CAPABILITIES

If you think you have what it takes, but don't necessarily meet every single point on the job description, please apply!

Where and How You Will Work

The opportunity will be based in Dublin/ Kilkenny with hybrid working arrangements available, which allows you greater choice in how you work and live, giving you a better work-life balance.

What We Would Like to Offer You

The opportunity to develop your career on a global stage, continuous learning through an on-demand learning platform, and a competitive compensation package including staff discounts, generous family leave policy, health plan, pension and competitive salary.

About Glanbia

Glanbia is a better nutrition company with three divisions: Performance Nutrition, Health & Nutrition and Dairy Nutrition. Collectively and with our partners we offer an incredible breadth of expertise in nutrition. We employ a team of 6000 people, work with global food and beverage companies, and sell our award-winning and market-leading brands and ingredients in more than 100 countries worldwide.

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a variety of candidates. We will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

 AI Governance and Value Manager

Location – Dublin / Kilkenny

Reports to – Head of AI Strategy and Architecture

Glanbia Business Services

Join this dynamic team focused on delivering better nutrition for every step of life’s journey.

 The Opportunity

The AI Governance and Value Manager plays a pivotal role in enabling responsible, scalable, and value-driven AI adoption across the enterprise. This role combines strategic governance with hands-on engagement to ensure AI initiatives are aligned with business priorities, deliver measurable benefits, and adhere to ethical and regulatory standards.

Job Responsibilities

Use Case Management & Value Realisation:

• Manage the AI use-case intake funnel, ensuring ideas are captured, evaluated, and progressed through the pipeline.
• Track and report on benefits realisation, highlighting business impact and communicating success stories across the organisation.
• Maintain visibility across Data Squads to ensure alignment and progress.
• Jointly oversee the AI engineering team responsible for delivering selected AI solutions, ensuring alignment with governance standards and value-driven outcomes.

Business Engagement & Ideation

• Facilitate ideation sessions and workshops with business units to uncover high-value AI opportunities.
• Act as a catalyst for innovation, helping teams translate business challenges into AI-enabled solutions.
• Support prioritisation and readiness of use cases for development and deployment
• Continuously scan the horizon to understand where other organisations are getting value from AI and identify similar opportunities within Glanbia

Collaboration & Enablement

• Serve as a subject matter expert on AI governance and value delivery, guiding teams on best practices and strategic alignment.
• Partner with data scientists, engineers, and business leaders to ensure consistent and effective AI adoption.
• Work closely with the AI Strategy and Architecture lead to ensure governance and value frameworks support the broader AI vision.

Governance & Policy Ownership

• Develop and maintain AI governance frameworks, policies, and standards aligned with enterprise data and AI strategies.
• Lead reporting and engagement with Data Councils, ensuring transparency and accountability across AI initiatives.
• Oversee compliance with ethical AI principles, regulatory obligations, and data privacy requirements.
• Work closely with the AI Strategy and Architecture lead to align governance and operations with overall AI strategy.
• Coordinate risk assessments and model lifecycle governance in collaboration with Legal, Risk, and other stakeholders.

Operationalisation of AI:

• Translate AI governance frameworks into actionable processes and controls across business units.
• Establish metrics and dashboards to track AI solution performance, accuracy, fairness and reliability.
• Support the deployment and monitoring or AI models in production environments.
• Collaborate with business teams to coordinate the delivery of prioritised AI use cases.
• Provide technical and operational guidance to ensure consistent adoption of AI practices.

Role Dimensions

Key Relationships/Customers

Qualification & Experience Requirements

• Bachelor's or Master's degree in a relevant field (e.g., Data Engineering, Computer Science, Information Technology), or equivalent experience.
• Certifications in AI Governance, Responsible AI, or Data Ethics (e.g., IAPP’s AIGP certification) are highly desirable

Professional Experience

• 5–8 years of experience in roles related to:
• AI/ML, data governance, analytics, or digital transformation.
• Delivering AI governance frameworks and operationalising AI solutions across business units.
• Proven track record in:
• Managing AI use-case pipelines and benefit realisation.
• Facilitating ideation workshops and translating business needs into AI opportunities.
• Collaborating with cross-functional teams including Legal, Risk, and Engineering

Technical and Strategic Skills

• Strong understanding of:
• AI lifecycle management, model governance, and MLOps practices.
• Ethical AI principles, regulatory frameworks (e.g., EU AI Act), and data privacy laws.
• Familiarity with enterprise platforms and tools such as Azure ML, SAP AI features, and Microsoft Copilot.
• Ability to assess feasibility and impact of AI use cases from both technical and compliance perspectives.

Leadership & Collaboration

• Experience in:
• Leading or co-managing AI engineering teams delivering enterprise AI solutions.
• Influencing stakeholders and aligning AI initiatives with strategic goals.
• Acting as a governance ambassador across business units and forums

Value & Impact Orientation

• Skilled in:
• Tracking and communicating benefits realisation of AI solutions.
• Developing dashboards and metrics to monitor AI performance and business impact.
• Driving adoption of AI governance standards and reporting to Data Councils

Key Technical & Leadership Capabilities

TECHNICAL CAPABILITIES & SKILLS

LEADERSHIP CAPABILITIES

If you think you have what it takes, but don't necessarily meet every single point on the job description, please apply!

Where and How You Will Work

The opportunity will be based in Dublin/ Kilkenny with hybrid working arrangements available, which allows you greater choice in how you work and live, giving you a better work-life balance.

What We Would Like to Offer You

The opportunity to develop your career on a global stage, continuous learning through an on-demand learning platform, and a competitive compensation package including staff discounts, generous family leave policy, health plan, pension and competitive salary.

About Glanbia

Glanbia is a better nutrition company with three divisions: Performance Nutrition, Health & Nutrition and Dairy Nutrition. Collectively and with our partners we offer an incredible breadth of expertise in nutrition. We employ a team of 6000 people, work with global food and beverage companies, and sell our award-winning and market-leading brands and ingredients in more than 100 countries worldwide.

At Glanbia, we celebrate diversity, because we know that our individual strengths make us stronger together. We welcome and encourage interest from a variety of candidates. We will give your application consideration, without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.