Senior ML Quantitative Researcher

X4 Alpha; Greater London; On-site; GBP 150,000 - 210,000; Full time

Benefits offered by this job

Strong upside compensation

Job summary

Confidential Client in London seeks a Senior ML Quantitative Researcher to own end-to-end research, from idea to live strategy. You will build predictive models and alpha signals on large-scale market data, using neural networks and tree-based methods.

Backtesting, productionisation, and live monitoring are core, with a focus on production-quality Python/C++ code in a small, high-autonomy team. No finance background required.

Qualifications

• PhD or equivalent depth in ML, statistics, physics, maths, CS or engineering.
• Experience shipping models into production on large-scale data.
• Strong Python skills; comfortable in C++ or willing to learn.

Responsibilities

• Own research end to end from idea to live strategy.
• Build predictive models and alpha signals on large-scale market data.
• Backtesting, productionisation, and live monitoring.
• Write production-quality code in a small, autonomous team.

Skills

Python

ML algorithms

Research to production

Education

PhD or equivalent

Tools

Python

C++

Job description

Senior ML Quantitative Researcher | London | Confidential Client

About the firm

A privately-owned, founder-led quant trading firm with 10+ years in global electronic markets. It takes no outside investors, runs fully automated strategies, and has one of the best revenue-per-head ratios in systematic trading. It is now building out in London.

The role

Own research end to end, from idea to live strategy. You will:

• Build predictive models and alpha signals on large-scale market data, using neural networks and tree-based methods
• Take your work through backtesting, productionisation and live monitoring
• Write production-quality code in a small, low-ego team with high autonomy

Who we want to hear from

Senior research or applied scientists from tech, AI or research labs who:

• Have a PhD or equivalent depth in ML, statistics, physics, maths, CS or engineering
• Have shipped models into production on noisy, large-scale data
• Write strong Python, and are comfortable in C++ or willing to learn it
• Want their work to move the P&L directly

No finance background is needed.

• Small team, high impact, with research visible and rewarded
• Researchers who ship, with no wall between “quants” and “devs”
• Highly competitive compensation with strong upside
• Very low team turnover