Asset & Wealth Management-New York-Associate, Quantitative Engineering-3851607

Goldman Sachs • New York, NY

13h • $113,000 - $155,600 • Onsite

About The Position

Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Requirements

• Master’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and one (1) year of experience in job offered or a related role OR Bachelor’s degree (U.S. or foreign equivalent) in Finance, Financial Engineering, Computational Finance, Mathematics, or related field and three (3) years of experience in job offered or a related role.
• Prior experience must include one (1) year of experience (with a Master’s degree) OR three (3) years of experience (with a Bachelor’s degree) with: C++, Java, or Python.
• Performing risk management or scenario-based analysis.
• Developing quantitative risk analytics, including factor models.
• Developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process.
• Statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.
• Working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process.
• Developing sustainable production systems.
• Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance.

Responsibilities

• Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm.
• Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues.
• Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables.
• Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming.
• Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling.
• Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level