Job Overview
Role: Quantitative Desk Strategist (Analyst/Associate) Location: Bengaluru, Karnataka Experience: Fresher / Analyst Level Qualification: Degree in Math, Physics, CS, or Engineering Key Skills: Python, Optimization Theory, MCMC, Modeling, Data Structures
Job Description
For the Goldman Sachs Recruitment 2026 drive, the team is looking for a Quantitative Strategist to join the Security Lending Strategist Team. You will apply quantitative and statistical techniques to make data-driven decisions that drive major business decisions in securities lending and financing. The role involves analyzing large data sets, building quantitative models, and optimizing business efficiency. You will work on inventory modeling, pricing, revenue optimization, and risk hedging using modern programming languages.
Roles and Responsibilities
- Modeling: Building quantitative models for inventory management, borrow/return strategies, and risk hedging.
- Data Analysis: Analyzing large data sets to drive business decisions in securities lending.
- Optimization: Applying optimization theory (Linear Programming, Numerical Methods) to solve complex business problems.
- Engineering: Building data pipelines and designing databases for relevant infrastructure.
- Collaboration: Working with global teams to find innovative solutions and explaining technical ideas to non-technical audiences.
Skills and Eligibility Criteria
Educational Background: Strong academic background in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, or Statistics.
Experience: Freshers (Analyst level) to Associates.
Mandatory Technical Skills:
- Strong programming skills in modern languages like Python or JavaScript
- Solid understanding of Optimization Theory (Linear Programming, Numerical Methods, MCMC)
- Interest in Data Engineering and database design
Competencies:
- Strong communication skills, ability to work in ambiguous contexts, and innovative strategic thinking (Soft Skills)
- Knowledge of Financial Markets (Securities Lending, One Delta products) (Preferred)