Quantitative Researcher │PhD and Post-Doc

JR United Kingdom; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading hedge fund in London is seeking talented PhD and Post-Doc graduates for their Quantitative Researcher role. Join a centralised quant team to apply your skills in data analysis, machine learning, and innovative trading strategies, contributing to the development of cutting-edge financial models.

Qualifications

• PhD in a quantitative field is mandatory.
• Strong programming skills in Python are essential.
• Experience with data analysis tools is preferred.

Responsibilities

• Analysing and evaluating financial datasets.
• Researching and developing quantitative trading models.
• Maintaining modelling infrastructure for production trading operations.

Skills

Programming in Python

Problem-solving

Analytical skills

Mathematical background

Education

PhD in Mathematics

PhD in Statistics

PhD in Computer Science

PhD in Machine Learning

PhD in Physics

Tools

Data analysis tools

Machine learning techniques

Job description

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Quantitative Researcher │PhD and Post-Doc, london

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Client:

Selby Jennings

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

6

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

We are seeking talented PhD and Post-Doc. graduates to join a successful centralised quant team at a tier-1 hedge fund in London. The team is highly collaborative, made up of people from incredibly strong academic backgrounds and they are now looking to onboard PhD and Post-Doc. graduates, starting in 2025/early 2026. The ideal candidate will have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics.

You will be developing skills in advanced quantitative techniques across a range of data types, markets and asset classes, in order to enhance their existing strategies and drive implementation of new signals and models. They have had several very successful years and as part of their team scale out they are looking for PhD and Post-Doc. graduates to contribute innovative ideas, aid with research, design and implementation.

Key Responsibilities:

• Analysing and evaluating financial and alternative datasets
• Researching existing and developing new techniques in machine learning
• Researching, developing and implementing quantitative trading signals/models
• Developing and maintaining modelling infrastructure
• Supporting production trading operations

Qualifications:

• Have a PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Machine Learning or Physics.
• Strong programming skills in Python.
• Excellent problem-solving skills and attention to detail.
• Strong analytical and mathematical background.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with data analysis tools.
• Experience with machine learning techniques and tools.
• Knowledge of global macroeconomic factors and their impact on financial markets.