PhD / Post-Doctoral Researcher ML Quantitative Researcher

Anson Mccade Careers; City Of London; On-site; GBP 350,000 - 403,000; Full time

Job summary

A prominent financial services firm in the UK is seeking a PhD / Post-Doctoral Researcher for the role of ML Quantitative Researcher. The position involves conducting statistical and machine learning research to develop predictive models and trading strategies within a collaborative environment focused on systematic trading. Candidates should possess a strong technical background, a passion for financial markets, and experience with large datasets. This role is permanent and requires onsite working in Central London.

Benefits

Discretionary bonus

Collaborative work environment

Qualifications

• Experience with large datasets and statistical/machine learning techniques.
• Strong technical background in quantitative research.
• Familiarity with trading signals and systematic strategies.

Responsibilities

• Conduct statistical and machine learning research on high-dimensional datasets.
• Develop predictive models and trading signals.
• Backtest models in live trading environments.
• Collaborate with engineers and traders to refine models.

Skills

Statistical analysis

Machine learning

Predictive modeling

Risk modeling

Portfolio optimization

Education

PhD or Post-Doctoral Research in a relevant field

Job description

PhD / Post-Doctoral Researcher ML Quantitative Researcher

£350000 GBP

Discretionary Bonus

Onsite WORKING

Location: Offices also in NYC / Miami / Chicago , Central London, Greater London - United Kingdom Type: Permanent

PhD / Postdoc ML Quantitative Researcher

Role Overview

My client is a leading global market‑maker who are searching for exceptional ML Quantitative Researchers to join high‑impact teams focused on systematic trading, predictive modelling, and machine learning research. These roles offer the opportunity to work in fast‑paced, collaborative environments where research is directly connected to live PnL.

Teams vary in focus - from FX‑driven research groups to multi‑asset portfolio construction and optimization, but all are looking for individuals with Post‑Doctoral Research, technical depth, and a passion for markets.

Key Responsibilities as a Quant Researcher

• Conduct statistical and machine learning research on large, high-dimensional datasets (including alternative data)
• Develop and improve predictive models, trading signals, and systematic strategies
• Backtest and deploy models in live trading environments
• Contribute to portfolio optimization and risk modeling

Collaborate with engineers and traders to refine models.