ML Researcher — Quant Finance, End-to-End Impact (London)

Citadel Securities; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading capital markets firm in London is seeking a Machine Learning Researcher to own the research lifecycle from hypothesis to deployment. Applicants should have a Masters or PhD in a quantitative field, strong expertise in machine learning, and proficiency in Python. The role offers the opportunity to develop models that have a direct impact on trading in options markets, supported by robust resources and a flat organizational structure.

Qualifications

• Advanced training and strong research track record in machine learning or statistics.
• Deep knowledge of large scale models and their training techniques.
• Strong math fundamentals, proficiency in regression/ML for large datasets.

Responsibilities

• Own the full research lifecycle from hypothesis to deployment.
• Conduct research and development in machine learning for quantitative finance.
• Prototype, test, and iterate models to impact options markets.

Skills

Machine Learning

Statistics

Python

Deep Learning

Data Analysis

Education

Masters or PhD in a quantitative field

Tools

NumPy

PyTorch

Job description

A leading capital markets firm in London is seeking a Machine Learning Researcher to own the research lifecycle from hypothesis to deployment. Applicants should have a Masters or PhD in a quantitative field, strong expertise in machine learning, and proficiency in Python. The role offers the opportunity to develop models that have a direct impact on trading in options markets, supported by robust resources and a flat organizational structure.