Trading & Market Strategies Execution Quantitative Researcher, Vice President
Quick summary
- Work type
- On-site
- Location
- New York, NY
- Salary
- $125,000–$250,000 / yr
- Posted
- 1 day ago
- Nearby
- 99+ roles within 25 mi
Employer
About Goldman Sachs
Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.
Goldman Sachs currently has 187 open roles on FindRole.
Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.
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At a glance
TL;DR · Trading & Market Strategies Execution Quantitative Researcher, Vice President
As a trading quant on the Central Trading and Market Strategies desk within Goldman Sachs Asset & Wealth Management, you will join a high-impact team responsible for optimizing trade execution performance across Equities, ETFs, Futures, and Options portfolios globally. Your day-to-day responsibilities include conducting empirical research to enhance trading strategies, supporting analytical databases for Transaction Cost Analysis (TCA), developing broker-side scorecards, and automating market structure reports. You will leverage Python, KDB+/Q, and advanced statistical modeling techniques to build quantitative tools that support pre-trade estimation and post-trade evaluation. This role requires a Master's or PhD in a quantitative field along with 3 to 10 years of experience in buy-side or sell-side algorithmic trading, familiarity with market microstructure, and strong communication skills to translate complex findings into actionable insights for Portfolio Managers.
Skills
What you'll do
- Conduct empirical research on trading performance to optimize fund and mandate execution.
- Enhance analytical databases for Transaction Cost Analysis (TCA) and evaluate liquidity quality.
- Develop broker-side scorecards and execute A/B tests for new trading ideas and algorithms.
- Monitor global market structure developments and automate production of market reports.
- Build quantitative tools for pre-trade estimation, post-trade evaluation, and market research.
- Support trading systems and monitor trading activities to ensure optimal performance.
What we're looking for
- Advanced degree in a quantitative field such as Mathematics or Financial Engineering.
- 3 to 10 years of experience in quantitative research or trading roles on the buy-side.
- Expert Python programming skills and knowledge of KDB+/Q for data analysis.
- Proficiency in statistical modeling, machine learning, and market dynamics optimization.
- Understanding of equities and futures/option markets' trading microstructure.
- Experience with trade execution algorithms like VWAP and Transaction Cost Analysis.
- Ability to use generative AI tools for automating research workflows and tasks.