Quantitative Researcher │PhD and Post-Doc

JR United Kingdom; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading hedge fund in London is seeking talented PhD and Post-Doc graduates for a Quantitative Researcher role. The successful candidates will join a collaborative team focused on advanced quantitative techniques and contribute to innovative trading strategies. Ideal candidates will possess strong analytical skills, programming expertise in Python, and a PhD in a quantitative field.

Qualifications

• 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.

Responsibilities

• Analysing and evaluating financial and alternative datasets.
• Researching existing and developing new techniques in machine learning.
• Developing and maintaining modelling infrastructure.

Skills

Programming in Python

Analytical skills

Problem-solving skills

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 (city of london)

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Client:

Selby Jennings

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

2

Posted:

23.05.2025

Expiry Date:

07.07.2025

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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.