BlackRock

Requirements

• Research, design, and back-test portfolio risk models using Python-based infrastructure
• Develop and maintain 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
• Collaborate effectively with researchers, engineers, and stakeholders across regions
• Strong ownership of work, critical thinking, and ability to work independently
• Experience with Aladdin and quantitative financial models
• Strong understanding of risk management and portfolio construction principles
• 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
• Paid Time Off

Skills

Requirements

• Minimum 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 Risk Management

Benefits

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

Skills

Requirements

• 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.
• 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.

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Conduct independent validation of AI/ML models
• Design and implement comprehensive validation strategies and test plans
• Define clear success criteria and quality benchmarks
• 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

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

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
• 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

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Remote Work
• Retirement Plan
• Stock Options
• Wellness Programs

Skills

Requirements

• Assist with the implementation of the firm-wide Model Risk Management Policy
• Support the execution of governance activities
• Drive operational efficiency through process improvements or automation
• Promote the development and implementation of the model risk management activities
• Prepare report on the status of Model risk to the appropriate risk management oversight committees
• Responding to Model related inquiries from regulators or auditors

Benefits

• 401k Matching
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts
• Flexible Hours

Skills

Requirements

• 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 risk management

Benefits

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

Skills