Quantitative Equity Portfolio Architect: Optimization & AI

Goldman Sachs; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Goldman Sachs Asset & Wealth Management seeks a data-driven Analyst to join the Quantitative Equity Portfolio Construction team. You will help optimize and rebalance global equity portfolios, develop systematic trading ideas, and test new portfolio constructs, while focusing on risk attribution and performance.) The role requires strong programming, quantitative skills, and a passion for equity investing.

This is an on-site position in New York with opportunities for AI-enabled investment

Qualifications

• BA/BS in Statistics, Math, Finance or Engineering is preferred.
• Strong analytical and quantitative skills required.
• Interest in equity investing and markets.
• Ability to work in a fast-paced environment.
• Solid statistics, linear algebra, and calculus foundations.
• Proficiency in Python, Matlab, R, C++, or Java.

Responsibilities

• Optimization and rebalancing of equity portfolios.
• Systematic trade generation and execution oversight.
• Implementation and testing of new portfolios.
• Cash management for equity portfolios.
• Portfolio construction research and process innovation.

Skills

Analytical skills

Quantitative skills

Creative thinking

Equity investing

Attention to detail

Programming experience

Education

BA/BS in Statistics/Math/Finance/Engineering

Tools

Python

Matlab

R

C++

Java

Job description

Goldman Sachs Asset & Wealth Management seeks a data-driven Analyst to join the Quantitative Equity Portfolio Construction team. You will help optimize and rebalance global equity portfolios, develop systematic trading ideas, and test new portfolio constructs, while focusing on risk attribution and performance.) The role requires strong programming, quantitative skills, and a passion for equity investing.

This is an on-site position in New York with opportunities for AI-enabled investment