Quantitative Engineer: Algo Trading & Data Analytics

Goldman Sachs Bank AG; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Disability coverage

Life insurance

On-site health centers

Job summary

Goldman Sachs is seeking a Quantitative Engineer – Associate in London to drive algorithmic trading analysis, live-trading experiments, and liquidity research. You will work with cross-functional teams including Sales, Trading, Engineering and Quantitative Research to enhance platform performance.

You will analyze large datasets, develop data-driven insights, and produce client-ready analyses on market microstructure and liquidity as European markets evolve.

Qualifications

• Interest in markets and equity electronic/algo trading.
• Strong analytical skills and ability to draw insights from large datasets.
• Hands-on coding experience – KDB/q, Python or SQL preferred.
• Ambitious with excellent communication and team-working skills.
• Familiarity with business intelligence software QlikView, Tableau or Power BI.
• Prior exposure to TCA, European market microstructure or other electronic execution concepts.
• Backgrounds we welcome: finance, physics, maths, computer science or engineering.

Responsibilities

• Independently perform Transaction Cost Analysis (TCA) to monitor clients’ performance and provide data-driven recommendations.
• Know the ins and outs of algorithms, trading systems and proprietary signals to showcase product value.
• Improve and expand tooling for data analysis and trend detection, leveraging AI and automation frameworks.
• Research liquidity and market structure evolution across European markets and develop thought-leadership content.

Skills

KDB/q

Python

SQL

Analytical skills

Communication

Teamwork

BI tools

Tools

QlikView

Tableau

Power BI

Job description

Goldman Sachs is seeking a Quantitative Engineer – Associate in London to drive algorithmic trading analysis, live-trading experiments, and liquidity research. You will work with cross-functional teams including Sales, Trading, Engineering and Quantitative Research to enhance platform performance.

You will analyze large datasets, develop data-driven insights, and produce client-ready analyses on market microstructure and liquidity as European markets evolve.