Asset & Wealth Management, Investment Strategy Group, SQAA Research Associate

Asset & Wealth Management, Investment Strategy Group, SQAA Research Associate, New York  New York, NY, United States

We are seeking a quantitative strategist to join the Strategic and Quantitative Asset Allocation (SQAA) team within the Investment Strategy Group (ISG). The candidate will join a team of researchers and technologists to design cutting-edge investment solutions and strategies across global asset classes.

This is a dynamic role that requires creativity, innovative thinking, and the ability to conduct rigorous investment research. Fluent programming skills, impeccable attention to detail and good communication skills are also a must.

The Strategic and Quantitative Asset Allocation team within the Goldman Sachs Investment Strategy Group (ISG) is seeking an Associate to contribute to the research, design and implementation of systematic investment strategies across global asset classes. ISG is situated within the firm’s Private Wealth Management business and has responsibility for strategic and tactical asset allocation views and advice for the firm’s ultra-high net worth clients and certain institutions.

This is a dynamic role that requires creativity, quantitative rigor and ability to conduct independent investment research.

Impeccable attention to detail, as well as stronginter-personal, team-work and communication skills, is also a must.

• Contribute to the research, design and implementation of systematic investment solutions and strategies
• Conduct quantitative research utilizing market and macroeconomic data
• Implement strategy backtests and simulations
• Demonstrate strong analytical and technical skills
• Deliver timely, thoughtful, and flawless execution of projects
• Interact with the firm’s current and prospective clients
• Demonstrate a keen interest in understanding financial markets
• Desire a long-term career in Investment Management

• Bachelor’s degree (Advanced degree preferred) in a quantitative field, such as Mathematics, Finance, Economics, Statistics, Physics, or Computer Science.
• 0-3 years of related work experience
• Fluent programming in Python, Matlab, R or a related language
• Familiarity with AI development tools and agents
• Empirical research of large and heterogeneous datasets and familiarity with cutting-edge machine learning techniques
• Ability to implement quantitative financial models and techniques (asset pricing, optimization, simulations)
• Knowledge of global asset classes and investment instruments
• Excellent communication skills; especially the ability to explain complex technical concepts and quantitative investment management topics in simple terms
• Strong interpersonal skills and a passion to engage with clients
• Attention to detail and ability to multi-task under pressure
• Collaborative and team-work oriented
• Independent, logical, and critical thinking, with the desire to think outside of the box
• SIE, FINRA Series 7 and 63 licenses (must obtain within the first 3 months)

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