Algorithmic Trading Quant Strategist – Electronic Markets

Goldman Sachs Group, Inc.; Greater London; Hybrid; GBP 180,000 - 240,000; Full time

Job summary

Goldman Sachs' London-based Algo R&D team seeks a senior quantitative researcher to advance execution algorithms and research in market microstructure. You will design, test, and deploy models that improve price formation, liquidity dynamics, and order placement for global electronic trading.

You will collaborate with traders, technologists and clients, and leverage large tick data, ML techniques, and real-time analytics to deliver measurable improvements in execution quality while maintaining

Qualifications

• Advanced degree in a quantitative discipline (Master's or PhD).
• 5+ years of experience in quantitative research related to execution/trading algorithms.
• Deep understanding of market microstructure concepts: order types, venue fragmentation, latency, queue priority, and market-impact models.
• Proficiency in statistical modelling, time-series analysis, and/or machine learning applied to financial data.
• Proficiency with large datasets (tick data, order-book snapshots).
• Solid grasp of transaction cost analysis (TCA) methodologies and execution benchmarks.
• Excellent communication skills to convey complex quantitative concepts.

Responsibilities

• Enhance execution algorithms (e.g., VWAP, Participate, adaptive strategies) for cash equities.
• Conduct rigorous quantitative research on market microstructure, venue analysis, and TCA.
• Build and maintain statistical and machine learning models for short-term price prediction, fill-rate estimation, market-impact modelling, and optimal order placement/scheduling.
• Collaborate with technology teams to productionize research into low-latency, high-reliability trading systems.
• Perform back-testing, simulation, and live A/B testing of algorithm enhancements; define and track performance metrics.
• Analyse large-scale tick data to identify alpha opportunities and areas for algo improvement.
• Partner with sales, trading, and client-facing teams to translate client feedback and business requirements into research priorities.
• Stay current with academic literature, regulatory changes (MiFID II), and the competitive landscape in electronic trading.
• Present research findings and strategic recommendations to senior stakeholders and cross-functional partners.

Skills

First-principles thinking

Collaborative partners

Impact-oriented

Continuous learners

Culture carriers

Quantitative research

Time-series analysis

Machine learning

Python

Market microstructure

Large datasets

Communication skills

Education

Advanced degree (Master's or PhD) in a quantitative discipline

Tools

Python

kdb+/q

Job description

Goldman Sachs' London-based Algo R&D team seeks a senior quantitative researcher to advance execution algorithms and research in market microstructure. You will design, test, and deploy models that improve price formation, liquidity dynamics, and order placement for global electronic trading.

You will collaborate with traders, technologists and clients, and leverage large tick data, ML techniques, and real-time analytics to deliver measurable improvements in execution quality while maintaining