Vice President

BlackRock•New York, NY

1d•$166,000 - $210,000•Hybrid

About The Position

Company: BlackRock Financial Management, Inc. Job Title: Vice President Location: 50 Hudson Yards, New York, NY 10001 Job Duties: Monitor portfolio risks and exposures on a continuous basis for global investment portfolios, including equities, US rates, investment-grade and high-yield credit, securitized products (CLOs, CMBS, Non-agency RMBS, ABS) and ESG-oriented strategies. Analyze market dynamics, macroeconomic trends, sector developments, collateral characteristics, and issuer fundamentals to identify portfolio vulnerabilities. Organize recurring and ad-hoc risk reviews and communicate findings to portfolio managers, risk committees, and senior management to provide independent oversight, inform portfolio-construction decisions, and support the development of data-driven and fundamental risk strategies. Apply advanced quantitative techniques including regression analysis, factor models, scenario-based attribution, back testing, machine learning and statistical modeling in Python, R, C++, and SQL to measure exposures, assess sensitivities, evaluate performance drivers, and perform attribution analysis. Conduct scenario analysis, stress testing, liquidity analysis, and risk simulations to quantify the impact of market, credit, interest-rate, macroeconomic, and structural shocks., while contributing to quantitative research on portfolio construction, fixed income analytics, and the broader risk environment. Develop and maintain production-grade analytical and data pipelines using modular design, version control (Git), automated testing, reproducible documentation, and performance optimization. Leverage cloud platforms such as Snowflake and Google BigQuery to process large-scale fixed-income, securitized, and multi-asset datasets with high integrity, scalability, and efficiency. Build next-generation risk-reporting stacks by integrating proprietary risk models with industry-standard platforms including Aladdin, Intex, and Trepp. Translate complex analytical results into clear, actionable recommendations for senior management and investment teams. Collaborate with peers to refine firmwide risk frameworks, support development of junior talent, hold regular risk meetings with portfolio managers, align portfolio adjustments with macroeconomic conditions, and monitor limit breaches with preparation of exception reports when required.

Requirements

Bachelor's degree or foreign equivalent in Economics or related field, and 48 months of experience in job offered, or closely related role.
Four years of experience in the following: Programming in Python, R, C++, and SQL; Portfolio analytics and construction; Quantitative and statistical research including regression, factor modeling, and performance attribution; Scenario analysis, stress testing, and risk simulations; Risk management frameworks and multi-asset risk models; Data analytics and visualization with Pandas, NumPy, Matplotlib, Power BI, and interactive HTML and JavaScript reports; and Version control and collaborative development using Git.
Three years of experience in the following: Fixed income markets, including credit and securitized products (CLOs, CMBS, Non-agency RMBS, ABS); Financial markets and macroeconomic analysis; Machine learning methods for predictive modeling and feature engineering; Cloud and large-scale data platforms including Google BigQuery, Snowflake, and MongoDB; and Aladdin, Intex, and Trepp.

Responsibilities

Monitor portfolio risks and exposures on a continuous basis for global investment portfolios, including equities, US rates, investment-grade and high-yield credit, securitized products (CLOs, CMBS, Non-agency RMBS, ABS) and ESG-oriented strategies.
Analyze market dynamics, macroeconomic trends, sector developments, collateral characteristics, and issuer fundamentals to identify portfolio vulnerabilities.
Organize recurring and ad-hoc risk reviews and communicate findings to portfolio managers, risk committees, and senior management to provide independent oversight, inform portfolio-construction decisions, and support the development of data-driven and fundamental risk strategies.
Apply advanced quantitative techniques including regression analysis, factor models, scenario-based attribution, back testing, machine learning and statistical modeling in Python, R, C++, and SQL to measure exposures, assess sensitivities, evaluate performance drivers, and perform attribution analysis.
Conduct scenario analysis, stress testing, liquidity analysis, and risk simulations to quantify the impact of market, credit, interest-rate, macroeconomic, and structural shocks., while contributing to quantitative research on portfolio construction, fixed income analytics, and the broader risk environment.
Develop and maintain production-grade analytical and data pipelines using modular design, version control (Git), automated testing, reproducible documentation, and performance optimization.
Leverage cloud platforms such as Snowflake and Google BigQuery to process large-scale fixed-income, securitized, and multi-asset datasets with high integrity, scalability, and efficiency.
Build next-generation risk-reporting stacks by integrating proprietary risk models with industry-standard platforms including Aladdin, Intex, and Trepp.
Translate complex analytical results into clear, actionable recommendations for senior management and investment teams.
Collaborate with peers to refine firmwide risk frameworks, support development of junior talent, hold regular risk meetings with portfolio managers, align portfolio adjustments with macroeconomic conditions, and monitor limit breaches with preparation of exception reports when required.