Quantitative Investment Research Associate

SRI Conference

New York (NY)

On-site

USD 85,000 - 160,000

Full time

2 days ago
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Job summary

Goldman Sachs seeks a quantitative strategist to join the SQAA within ISG to design and implement systematic investment strategies across global assets. The role blends research with technology, requiring rigorous investment analysis and strong programming.

You will interact with clients and contribute to strategic asset allocation views for UHNW clients and institutions. Ideal candidates hold a quantitative degree, 0–3 years experience, and fluency in Python/ Matlab/ R, with a passion for

Qualifications

  • Bachelor's degree in a quantitative field is required or advanced degree preferred.
  • Fluent programming in Python, Matlab or R and familiarity with AI tools.
  • Experience in empirical research using large datasets and ML techniques.
  • Ability to implement quantitative financial models (pricing, optimization, simulations).
  • Strong communication and interpersonal skills; client interaction a plus.

Responsibilities

  • Contribute to research, design, and implementation of systematic investment solutions.
  • Conduct quantitative research using market and macroeconomic data.
  • Implement strategy backtests and simulations.
  • Demonstrate analytical and technical strengths and deliver flawless project execution.
  • Interact with current and prospective clients and communicate complex concepts clearly.
  • Show keen interest in financial markets and a long-term investment management career.

Skills

Python
Matlab
R
AI tools
Machine learning
Quantitative modeling
Data analysis

Education

Bachelor's degree in Mathematics/Finance/Economics/Statistics/Physics/Computer Science
Advanced degree preferred

Tools

SIE/ FINRA Series 7 & 63 licenses

Job description

Goldman Sachs seeks a quantitative strategist to join the SQAA within ISG to design and implement systematic investment strategies across global assets. The role blends research with technology, requiring rigorous investment analysis and strong programming.

You will interact with clients and contribute to strategic asset allocation views for UHNW clients and institutions. Ideal candidates hold a quantitative degree, 0–3 years experience, and fluency in Python/ Matlab/ R, with a passion for

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