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We are looking to hire a quantitative modeler (Vice President) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution.
Job Responsibility:
Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc
Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations
Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations
Coordinate with and navigate through multiple teams and stakeholders while managing timelines
Backtesting, documenting, and guiding new models and methodologies through validation
Partner with engineering teams to integrate portfolio risk models into state-of-art production systems
Requirements:
6 -10 years of experience in quantitative field / statistical modeling
Experience with portfolio risk analytics and/or model governance is strongly preferred
Degree in a quantitative discipline – master’s degree in finance / economics / statistics / financial engineering / math finance / engineering
Knowledge of investments, portfolio management, econometrics, and empirical asset pricing
A solid foundation in quantitative techniques
Hands-on experience with statistical software (Python) and strong background in programming
Intermediate to advanced proficiency with Python is strongly preferred
Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models
Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus
Ability to work effectively with a team of highly motivated individuals
Time and project management skills
Proven track record of guiding junior talent
Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment
Excellent communication and presentation skills
Nice to have:
Experience with portfolio risk analytics and/or model governance is strongly preferred
Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus