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Portfolio Risk Modeling

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BlackRock Investments

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Location:
United States , New York

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Category:

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Contract Type:
Not provided

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Salary:

137500.00 - 170000.00 USD / Year

Job Description:

BlackRock is seeking a hands-on Quantitative Associate to join the Portfolio Risk team within Aladdin Financial Engineering (AFE). This is an individual contributor role focused on quantitative research, model development, testing, and implementation. The 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, and portfolio stress testing and scenario analysis.

Job Responsibility:

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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Annual discretionary bonus
  • Healthcare
  • Leave benefits
  • Retirement benefits
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
May 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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