Citi

Benefits

• Employee Assistance Program
• Life Insurance
• Parental Leave

Skills

Benefits

• Employee Assistance Program
• Life Insurance
• Parental Leave

Skills

Requirements

• Advanced degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, Finance, or another highly quantitative discipline.
• Strong programming skills in SAS, SQL, Python.
• Experience with Tableau/Excel for performance reporting.
• Understanding of modeling techniques such as linear/logistic regression, machine learning.
• Ability to work effectively across cross-functional teams.
• Support internal & external audits, and regulatory reviews.
• Conduct robust QC on model inputs, outputs, and monitoring datasets.
• Leverage Gen AI to establish consistent and scalable processes.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Training Budget

Skills

Requirements

• 6-10 years of experience in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
• AI/ML development experience in a Data Scientist role or similar – A Must
• NLP development experience in a Data Scientist role or similar – Strongly preferred
• Knowledge of AI risk management and validation
• Ability to work across teams that implement a variety of GenAI solutions
• Ability to own the GenAI book of work and serve as development teams’ center of knowledge on topics related to model validation

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Professional Development

Skills

Requirements

• Bachelor’s degree, or foreign equivalent, in Engineering (any), Statistics, Mathematics, Economics, or a related field
• Five (5) years of experience in the job offered or in a related quantitative occupation developing, enhancing, and validating the methods of measuring and analyzing risk
• Validating traditional statistical (linear regression models, logistic regression, classification and regression decision tree models), machine learning, and artificial intelligence models for consumer valuation models
• Assessing model risk across the model life-cycle by performing statistical, data, and quantitative analysis for model development using analytical and business tools including advance excel, VBA codes, SAS/4GL, SQL, R, and Python
• Providing effective challenge to the model development process, including identifying model limitations, including data and soundness issues, performance weaknesses, usage restrictions
• Performing validation tests and diagnostic analyses to evaluate the soundness an performance of the developed models
• Creating formal and detailed statistical documentation with supporting analyses, testing results, and rationales for key decisions and ensuring documentation meets regulatory guidelines

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or related quantitative field
• Two (2) years of experience in the job offered or in a related quantitative occupation performing risk analysis and modeling
• Performing quantitative review of mathematical and statistical model documentation and testing results
• Implementing risk and pricing models using programming languages
• Designing tests using regulatory requirements, performing independent investigation and testing of models, and identifying material limitations
• Delivering model validation reports to stakeholders
• Managing model risk across the complete modeling lifecycle

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Vision Insurance

Skills

Requirements

• Bachelor’s degree in Mathematics, Statistics, Finance, Computer Science, or related quantitative field
• Two years of experience in the job offered or in a related quantitative occupation performing risk analysis and modeling
• Performing quantitative review of mathematical and statistical model documentation and testing results
• Implementing risk and pricing models using programming languages
• Designing tests using regulatory requirements, performing independent investigation and testing of models
• Delivering model validation reports to stakeholders
• Managing model risk across the complete modeling lifecycle

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Vision Insurance

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work

Skills

Requirements

• Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
• Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
• Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
• Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
• Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work

Skills

Requirements

• Own and evolve the Incubator Environment — the platform and tooling that enables CISO teams to move from idea to working PoC to validated use case
• Partner with cybersecurity domain teams to understand their challenges, identify high-value AI use cases, and rapidly prototype agentic solutions
• Design, build, and deploy agentic AI systems that autonomously perform cybersecurity tasks — including threat analysis, security control validation, intelligent triage, and response orchestration
• Architect multi-agent orchestration systems, defining how AI agents collaborate, delegate, and escalate across security workflows
• Implement robust agent infrastructure: tool use frameworks, memory and context management, planning/execution loops, guardrails, and human-in-the-loop controls

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 10+ years of experience in cybersecurity and AI security engineering
• Proven track record of delivering complex cybersecurity solutions
• Strong understanding of AI and machine learning concepts
• Experience with cloud security platforms and tools
• Excellent communication and leadership skills
• Ability to work in a fast-paced environment
• Strong problem-solving skills and attention to detail

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Lead a team of cybersecurity engineers and architects
• Develop and implement AI security solutions
• Collaborate with cross-functional teams to ensure security
• Stay up-to-date with emerging threats and technologies
• Develop and maintain security policies and procedures

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Hours
• Remote Work

Skills

Requirements

• 10+ years of experience in cybersecurity and AI security engineering
• Proven track record of delivering complex security solutions
• Strong understanding of cloud security and compliance
• Experience with threat intelligence and security architecture
• Ability to lead and manage a team of security engineers
• Strong communication and collaboration skills
• Ability to work in a fast-paced environment and prioritize tasks effectively

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Develop methodological approaches and solutions for model deployment
• Enhance reporting and provide intelligent insight into model outputs
• Manage model risk across the model life-cycle
• Innovate and develop new analytics, automation, intelligent insight and reporting
• Communicate results and insight to diverse audiences
• Present model insight findings and methodologies to senior management
• Participate in forward-looking team culture
• Work across boundaries and build strong global networks

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• 6-10 years of experience in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
• AI/ML development experience in a Data Scientist role or similar
• NLP development experience in a Data Scientist role or similar
• Knowledge of AI risk and model validation
• Ability to work across teams that implement a variety of GenAI solutions
• Ability to own and maintain GenAI solution book of work for eligible GenAI use-cases
• Ability to communicate and coordinate with the model risk validation team

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Lead the development and implementation of AI security engineering strategies and solutions
• Collaborate with cross-functional teams to ensure AI security is integrated into all aspects of the business
• Develop and maintain relationships with key stakeholders to ensure AI security is aligned with business objectives
• Stay up-to-date with emerging AI security threats and technologies to ensure Citi's AI security posture is strong
• Develop and implement AI security training programs for employees
• Work with the CISO to develop and implement AI security policies and procedures
• Collaborate with the Chief Data Officer to ensure AI security is integrated into all aspects of data management
• Develop and implement AI security metrics and monitoring to ensure Citi's AI security posture is strong

Benefits

• 401k Matching
• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours
• Gym Membership
• Life Insurance

Skills

Requirements

• Lead the development and implementation of AI security engineering solutions
• Collaborate with cross-functional teams to ensure AI security is integrated into all aspects of the business
• Develop and maintain relationships with key stakeholders to ensure AI security is aligned with business objectives
• Stay up-to-date with emerging AI security threats and technologies to ensure Citi's AI security posture remains strong
• Develop and implement AI security training programs for employees
• Work with the CISO to develop and implement AI security policies and procedures
• Collaborate with the Chief Data Officer to ensure AI security is integrated into all aspects of data management
• Develop and maintain relationships with key vendors to ensure AI security is integrated into all aspects of the business

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• 10+ years of experience in cybersecurity and AI security engineering
• Proven track record of delivering complex technology solutions
• Strong leadership and management skills
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment
• Experience with cloud security and networking
• Strong understanding of machine learning and AI security
• Ability to design and implement secure architecture

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Develop methodological approaches and solutions for model deployment
• Enhance reporting and provide intelligent insight into model outputs
• Manage model risk across the model life-cycle
• Innovate and develop new analytics, automation, intelligent insight and reporting
• Communicate results and insight to diverse audiences
• Present model insight findings and methodologies to senior management
• Participate in forward-looking team culture and work across boundaries

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• 6-10 years of experience in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
• AI/ML development experience in a Data Scientist role or similar – A Must
• NLP development experience in a Data Scientist role or similar – Strongly preferred
• Knowledge of AI risk management and validation
• Ability to work across teams that implement a variety of GenAI solutions
• Ability to own and maintain GenAI solution book of work for eligible GenAI use-cases
• Ability to communicate and coordinate with the model risk validation team on refining the group’s policy or procedural changes

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Advanced degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, or Finance
• Strong programming skills in SAS, SQL, and Python
• Experience with Tableau and Excel for performance reporting
• Understanding of modeling techniques such as linear and logistic regression
• Ability to communicate results to diverse audiences

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Advanced degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, or Finance
• Strong programming skills in SAS, SQL, and Python
• Experience with Tableau and Excel for performance reporting
• Understanding of modeling techniques such as linear and logistic regression
• Ability to communicate complex technical information to non-technical stakeholders

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Advanced degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, or Finance
• Strong programming skills in SAS, SQL, and Python
• Experience with Tableau and Excel for performance reporting
• Understanding of modeling techniques such as linear and logistic regression
• Ability to communicate complex technical information to non-technical stakeholders

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Advanced degree in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, or Finance
• Strong programming skills in SAS, SQL, and Python
• Experience with Tableau and Excel for performance reporting
• Understanding of modeling techniques such as linear and logistic regression
• Ability to communicate complex technical information to non-technical stakeholders

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Training Budget

Skills

Requirements

• 8+ years of experience in a large, complex financial institution, regulatory body, or related field.
• 4+ years of experience in risk management, audit, model governance, or technology risk, with direct exposure to AI/ML deployment and oversight.
• Demonstrated understanding of Artificial Intelligence and Machine Learning concepts.
• Ability to analyze and assess AI-related risks and develop mitigation strategies.
• Strong communication and stakeholder engagement skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus

Skills

Requirements

• Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
• Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value.
• Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance.
• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.
• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work

Skills

Requirements

• 8+ years of experience in a large, complex financial institution, regulatory body, or related field.
• 4+ years of experience in risk management, audit, model governance, or technology risk, with direct exposure to AI/ML deployment and oversight.
• Demonstrated understanding of Artificial Intelligence and Machine Learning concepts.
• Ability to analyze complex data and identify trends.
• Strong communication and interpersonal skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Experience with risk management frameworks and regulations.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Bachelor’s degree, or foreign equivalent, in Engineering (any), Statistics, Mathematics, Economics, or a related field
• Five (5) years of experience in the job offered or in a related quantitative occupation developing, enhancing, and validating the methods of measuring and analyzing risk
• Validating traditional statistical (linear regression models, logistic regression, classification and regression decision tree models), machine learning, and artificial intelligence models for consumer valuation models
• Assessing model risk across the model life-cycle by performing statistical, data, and quantitative analysis for model development using analytical and business tools including advance excel, VBA codes, SAS/4GL, SQL, R, and Python
• Providing effective challenge to the model development process, including identifying model limitations, including data and soundness issues, performance weaknesses, usage restrictions
• Performing validation tests and diagnostic analyses to evaluate the soundness an performance of the developed models
• Creating formal and detailed statistical documentation with supporting analyses, testing results, and rationales for key decisions

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Remote Work

Skills

Requirements

• Perform model validations, annual model reviews, ongoing monitoring reviews
• Provide effective challenge to the model development process
• Evaluating testing approach and results for individual models
• Assessing the ongoing performance monitoring of the models
• Collaborating with other teams within Risk and the Business

Benefits

• Health Insurance
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Flexible Hours

Skills