Quantitative Research Scientist From Theory to Live Trading

eFinancialCareers; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

eFinancialCareers is seeking a highly capable Quantitative Research Scientist for its London-based research team. You will work in a genuinely research-led environment alongside doctoral and post-doctoral researchers, translating original mathematical ideas into live investment strategies.

We value deep mathematical ability, rigorous research credentials, and exceptional programming skills, with strong Python and Linux proficiency.

Qualifications

• PhD or completion of a PhD within the next year in Mathematics, Statistics, Computer Science, Physics, Electrical Engineering or related quantitative discipline.
• Evidence of genuine research excellence, ideally including high-quality peer-reviewed publications.
• Strong programming skills and the ability to turn research into reliable working code.

Responsibilities

• Develop new statistical and mathematical approaches to extracting signal from large, noisy datasets.
• Research and test new sources of systematic alpha and robust production implementations.
• Work with proprietary datasets and infrastructure processing billions of market events each day.
• Turn research ideas into robust production implementations and peer-review research across the team.

Skills

Python

C++

Machine Learning

Time Series

Statistics

Education

PhD in Mathematics/Statistics/CS/Physics

Tools

Linux

Job description

eFinancialCareers is seeking a highly capable Quantitative Research Scientist for its London-based research team. You will work in a genuinely research-led environment alongside doctoral and post-doctoral researchers, translating original mathematical ideas into live investment strategies.

We value deep mathematical ability, rigorous research credentials, and exceptional programming skills, with strong Python and Linux proficiency.