Portfolio Risk Modeling, Model Governance - Associate
Worldwide
$137.5k - $170k
Server-rendered summary of BlackRock's open remote positions.
Worldwide
$137.5k - $170k
Worldwide
Worldwide
Worldwide
United States
$138k - $186.5k
Ireland
Worldwide

We're analyzing BlackRock's remote work culture to provide detailed insights.
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.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.About this role
The mission of the Risk and Quantitative Analysis (RQA) function is to help BlackRock manage its fiduciary and enterprise risks and provide independent oversight. While executing this mission, RQA provides quantitative analysis to many of BlackRock’s businesses and helps promote the spread of best practice across the firm.
The Enterprise Risk team within RQA oversees those risks which directly impact the corporate entity (i.e. BlackRock, Inc., or one of its subsidiaries), rather than the fiduciary risks assumed by funds/clients, such as investment risks and counterparty risks. The team’s focus includes but is not limited to operational risk, technology, vendor, model and market risk, stress testing for market risk and the quantitative estimation of capital adequacy requirements.
The enterprise risk function remains closely engaged with the evolving regulatory environment and supervisory expectations, to ensure that BlackRock’s internal risk and control frameworks remain consistent with these, and to co-ordinate regulatory initiatives from an RQA perspective (for example, capital and liquidity assessments).
The Global Model Risk Management function within Enterprise Risk team is responsible for developing the firm-wide Model Risk Management framework and the implementation of the framework across the firm. Key responsibilities of the team include performing independent review of model risk related activities across the firm, working with the model owners and proving oversight and assessment of their model risk procedures to ensure that they are comprehensive, rigorous and effective and follow the firm-wide and regulatory requirements.
The role will be based onsite in our Dublin office.
Key Responsibilities:
· Assist with the implementation of the firm-wide Model Risk Management Policy.
· Support the execution of governance activities including activities covered by relevant sub-committees of the Enterprise Risk Committee (ERC).
· Drive operational efficiency through process improvements or automation (i.e. tracking risk metrics, issues, performance issues, errors, internal audit findings and any issues raised by regulators, managing incidents and risk & control issues.
· Promote the development and implementation of the model risk management activities in the model risk management system in compliance with the Policies and regulatory guidelines.
· Prepare report on the status of Model risk to the appropriate risk management oversight committees on a periodic basis and as required.
· Responding to Model related inquiries from regulators or auditors.
Knowledge/Experience/ Competencies:
· Minimum of 3 years’ works experience in the financial industry.
· Undergraduate/ Master’s in Computer Science, Mathematics, Finance, Financial or Engineering.
· Excellent communication, negotiation and problem-solving skills
· Ability to draft governance documents and committee materials with clarity and precision
· Experience in quantitative Model reviews or process improvements, change management or project lifecycle management
· Strong interpersonal and organizational skills and attention to details.
· Ability to work independently and manage multiple priorities simultaneously and can prioritize and escalate as appropriate
· Programming experience in one or more environments such as R, Python and SQL
· Proven experience working on M365 tools (specifically Excel & PowerPoint) and platform such as Power Automate, Power BI and Copilot Studio
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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 | :
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
About this role
Business Overview
The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks. RQA’s mission is to advance the firm’s risk management practices and deliver independent risk advice and constructive challenge to drive better business and investment outcomes. RQA’s risk managers play a meaningful role in BlackRock’s investment process, using quantitative analysis and a multi-disciplinary skillset to tackle real-world problems and provide tangible solutions in the investment management process.
RQA is committed to investing in our people to promote both individual accomplishment and a strong collaborative environment. As a global group, our goal is to create a culture of inclusion which encourages teamwork, innovation, diversity and the development of future leaders. We actively engage in discussions on career growth and work with team members to understand how personal passions and strengths connect with our purpose.
Model Validation team in Model Risk Management
The Model Validation team is an integral part of the global Model Risk Management Team. The Global Model Risk Management function within the Enterprise Risk team is responsible for developing the firm-wide Model Risk Management framework and the implementation of the framework across BlackRock.
Key responsibility of the Model Validation team is performing independent reviews of models, primarily focusing on the models produced and owned by the Aladdin Financial Engineering (AFE) group. The team works with the model owners and other stakeholders (e.g. model users; governance representatives etc.), design and run independent testing of the models, and provide effective challenge to the model’s methodology and implementation, focusing on the usage cases of the models.
Responsibilities:
Evaluate conceptual soundness of models by assessing the model theory (incl. model assumptions, limitations), model construction and model testing in relation to the known model use cases.
Review adequacy of testing performed by model owners and design and execute efficient independent model testing both standardized and tailored to specifics of the model’s type, implementation and usage.
Document validation approach, observations, findings and conclusions in comprehensive validation reports.
Communicate results of model validation tests and observations within the team and to relevant stakeholders, where appropriate.
Knowledge/ Experience / Qualifications:
Advanced Degree (BS, MS) in a quantitative discipline, with strong Mathematics, Statistics and Analytical skills.
4-7 years of experience in quantitative model development or validation in the areas is an advantage, in particular, practical knowledge in one of following types of models: derivatives analytics; structured products analytics; portfolio risk factor models; private/alt asset class modelling; liquidity modelling.
Strong technical background and practical application of one (or more) of programming languages is required (for example: Python; R; C++; Java; SQL; Hadoop; Linux applications; Advanced Excel modelling / VBA etc.). Experience in using AI for analytical work is an advantage.
Broad market and finance knowledge in certain asset class areas is an advantage (for example: Equity; FI; Beta; Derivatives; A(M)BS; Credit; Private; LDI; other).
Strong communication and interpersonal skills, including ability to explain sophisticated technical concepts in clear way is required.
Detail oriented paying attention to details.
Enthusiasm and energy combined with a clear sense of how to “make it happen” through teamwork, engagement and commitment.
Fluent in spoken and written English.
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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
About this role
Business Overview
The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks.  RQA’s principal objectives are to advance the firm’s risk management practices and to deliver independent risk expertise and constructive challenge to drive better business and investment outcomes. 
RQA is committed to investing in our people to increase individual enablement and ultimately build a stronger team. Our goal is to create a culture of inclusion which encourages collaboration, innovation, diversity and the development our future leaders.  We actively engage in discussions on career growth and work with team members to understand how personal passions and strength connect with our purpose.
Role Description:
The Enterprise Risk team within RQA oversees those risks which directly impact the corporate entity (i.e. BlackRock, Inc., or one of its subsidiaries), rather than the fiduciary risks assumed by funds/clients, such as investment risks and counterparty risks. The team’s focus includes but is not limited to operational risk, technology, vendor, model and market risk, stress testing for market risk and the quantitative estimation of capital adequacy requirements.
The AI Model Validation Associate/VP will perform independent reviews of AI/ML models used across BlackRock, including generative AI, predictive analytics, and natural language processing models. This role requires strong technical expertise combined with risk management skills to challenge model design, data integrity, and performance monitoring. The role will be based onsite in our GGN office.
Key Responsibilities:
Conduct independent validation of AI/ML models, including generative AI systems, recommendation engines, and predictive models.
Design and implement comprehensive validation strategies and test plans tailored to each AI use case. Define clear success criteria and quality benchmarks to measure whether the AI solution meets all requirements and standards.
Assess conceptual soundness, methodology, and alignment with intended business use.
Review data quality, preprocessing steps, and feature engineering for AI use cases.
Execute functional and performance tests.
Evaluate performance metrics, robustness, and limitations under various scenarios.
Document validation findings, provide recommendations
Stay current on emerging AI technologies, validation techniques, and regulatory developments.
Communicate validation conclusions to relevant stakeholders, including escalating identified findings, risks or gaps to senior leadership and approval committees
Collaborate with AI Engineering, Data Science, and Risk teams to enhance AI transparency and trustworthiness.
Experience, Skills and Qualification:
With 8-10 years’ works experience in the financial industry.
Advanced degree (MS, PhD) in Computer Science, Data Science, Statistics, Applied Mathematics, or related field.
Strong understanding of AI/ML algorithms, including deep learning, NLP, and generative models.
Experience with Python, R, or similar programming languages; familiarity with ML frameworks (TensorFlow, PyTorch).
Knowledge of AI risk management principles, validation methodologies, and regulatory expectations.
Excellent analytical, communication, and documentation skills.
Ability to work independently and challenge stakeholders constructively.
Experience validating large language models (LLMs) or generative AI systems.
Familiarity with AI ethics, bias detection, and explainability frameworks.
Exposure to cloud-based AI platforms and scalable model deployment.
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 Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
About this role
About This Role
As a member of BlackRock’s Product Security Engineering organization, the AI Security Engineer will focus on securing AI‑enabled systems across both internal enterprise platforms and customer‑facing products. This includes LLM‑powered applications, agent‑based workflows, retrieval‑augmented generation (RAG) pipelines, and tool‑driven integrations.
In this role, you will conduct hands‑on security testing, threat modeling, and security design reviews for AI systems, while also building practical security tooling and guardrails that integrate directly into engineering workflows and CI/CD pipelines. You will work closely with AI platform teams, product engineers, and security partners to identify risks early, drive remediation, and improve secure‑by‑default patterns for AI development.
This is a senior individual‑contributor role aligned to BlackRock’s Vice President level.
Responsibilities
Drive security outcomes for AI systems across internal enterprise platforms and client‑facing products
Perform security testing and threat modeling for AI‑enabled applications, agent workflows, and tool ecosystems
Identify and remediate risks such as prompt injection, unsafe tool usage, data exposure, and insecure execution paths
Partner with engineering teams early in the design lifecycle to influence secure AI architectures
Design and implement AI security guardrails and enforcement mechanisms
Build and deploy custom security tooling and automated tests integrated into CI/CD pipelines
Contribute to firm‑wide standards and best practices for secure AI development and deployment
Act as a technical security advisor to engineering teams and leadership
Requirements
4+ years of experience in software engineering, product security, application security, or platform engineering
Demonstrated ability to write code and scripts to support security testing, tooling, and analysis
Experience working with distributed, cloud‑native platforms
Proven ability to analyze complex systems and communicate security risk clearly and pragmatically
Preferred Experience
Experience securing AI‑enabled systems or building AI/ML platforms and applications at scale
Background in product security, application security, platform security, and/or AI systems engineering
Experience with LLM applications, agent‑based workflows, RAG pipelines, or tool/plugin architectures
Familiarity with AI security risks such as prompt injection, jailbreaks, tool misuse, and data leakage
Experience building security automation, guardrails, or CI/CD‑integrated testing frameworks
Cloud experience (Azure preferred; AWS or GCP acceptable)
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.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.