This role pays more than
61%
of similar roles. Most pay
$141,850–$213,031
— the shaded band above.
At the midpoint, this role pays about
$188k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
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
134 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 55 roles with salary data.
Asset & Wealth Management, Trading & Market Strategies – Execution Quantitative Researcher, Vice President joins the Central Trading and Market Strategies team to support systematic trading processes for Equities, ETF, Futures, and Options portfolios. This role involves conducting empirical research on trading performance, enhancing analytical databases for Transaction Cost Analysis, performing venue analysis, and designing A/B tests for broker algorithms. The researcher will build tools to automate market structure reports and maintain quantitative libraries for pre-trade estimation and post-trade evaluation. Candidates should possess an advanced degree in a quantitative field and experience with Python, KDB+/Q, and large datasets like tick data. Required expertise includes statistical modeling, machine learning, and optimization techniques. The role addresses the critical challenge of optimizing trade execution performance and minimizing market impact to ensure alpha retention across various investment funds and mandates.
Conduct empirical research on trading performance and execution strategies for Equities, Futures, and Options portfolios.
Enhance and support analytical databases and libraries for Transaction Cost Analysis (TCA).
Perform deep-dive venue analysis to evaluate liquidity quality and routing logic.
Develop broker-side scorecards and execute A/B tests for new trading ideas and algorithms.
Monitor global market structure developments and build tools to automate production of market reports.
Build and maintain quantitative tools for pre-trade estimation, post-trade evaluation, and market research.
Support and monitor active trading conducted through internal trading systems.
What we're looking for
Advanced degree (Master's or PhD) in a quantitative field such as Mathematics, Physics, Computer Science, Financial Engineering, or Statistics (preferred).
3 to 10 years of experience in a quantitative research or trading role (preferred).
Excellent Python programming skills and strong understanding of software design and principles (preferred).
Experience with KDB+/Q or similar databases for analyzing large data sets like tick data (preferred).
Strong familiarity with advanced statistical modeling, machine learning, market dynamics modeling, and optimization techniques (preferred).
Familiarity with trading and market microstructure of Equities and at least one Futures or Options markets (preferred).
Good knowledge of various trade execution algorithms and Transaction Cost Analysis (TCA) (preferred).
Experience using generative AI and agentic AI tools to automate research workflows and analytical tasks (preferred).