Quantitative Strategist — Capital & Liquidity Optimization

The Goldman Sachs Group; New York (NY); On-site; USD 150,000 - 300,000; Full time

Job summary

The Goldman Sachs Group in New York is seeking a highly capable quantitative strategist to optimize capital and liquidity within Global Banking & Markets. You will build models, use numerical techniques, and collaborate with traders, risk managers, and leadership to drive measurable improvements.

Candidates should have a strong background in quantitative fields and programming in C/C++, Python or Java, with experience on trading desks and knowledge of regulatory frameworks.

Qualifications

• Strong quantitative foundation in a relevant field.
• Proficiency in programming and model development.
• Familiarity with financial markets and risk modelling.

Responsibilities

• Create models and calculators to optimize capital and liquidity.
• Apply numerical optimization to scarce resources.
• Understand regulatory capital rules and methodologies.
• Explain findings to business leaders and drive implementation.

Skills

Quantitative reasoning

Team collaboration

Presentation skills

Education

Quantitative field degree

Tools

C

C++

Python

Java

Job description

The Goldman Sachs Group in New York is seeking a highly capable quantitative strategist to optimize capital and liquidity within Global Banking & Markets. You will build models, use numerical techniques, and collaborate with traders, risk managers, and leadership to drive measurable improvements.

Candidates should have a strong background in quantitative fields and programming in C/C++, Python or Java, with experience on trading desks and knowledge of regulatory frameworks.