Quant jobs / Goldman Sachs

Execution Solutions Strats – Electronic Trading

A client-facing analytics role in the European electronic trading business, helping asset managers and quant funds understand and improve how their orders perform. It combines TCA, data analysis and market structure research.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Run TCA for clients and present improvement ideas at reviews
Learn the firm's algorithms and signals well enough to explain their value
Improve tooling for data analysis and trend detection
Research European liquidity and market structure and publish findings
Maintain client technical setups and configurations

What they ask for

Required

Interest in equity electronic and algo trading
Analytical skills with large raw datasets
Coding in KDB/q, Python or SQL
Communication and teamwork

Preferred

BI tools such as QlikView, Tableau or Power BI
TCA or European market microstructure exposure

Education: Finance, physics, maths, computer science or engineering backgrounds welcome
Experience: Analyst/Associate level; years not stated
Languages and tools: KDB+/q
Python
SQL
Tableau
Power BI
QlikView
Markets: equities

How to prepare

Compute implementation shortfall and slippage from public trade data and report on it
Learn European market structure: MiFID II, dark pools, periodic auctions
Practise SQL or KDB/q queries over tick data
Write a short client-style note turning a data finding into a recommendation

What to study

Apply

Read the full posting on Goldman Sachs’s site before applying: requirements, location and pay can change after we check them.

View the posting on Goldman Sachs’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Goldman Sachs and doesn’t handle applications.