Quantitative Researcher │PhD and Post-Doc

Selby Jennings; City Of London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading hedge fund in London seeks Quantitative Researchers with PhD or Post-Doctoral qualifications for their dynamic team. The role focuses on developing innovative trading strategies using advanced quantitative techniques across various data types. Successful candidates will contribute to enhancing models and implementing new quantitative signals.

Qualifications

• PhD in a quantitative field required.
• Experience in machine learning and data analysis preferred.
• Strong programming skills in Python necessary.

Responsibilities

• Analyze and evaluate financial and alternative datasets.
• Research and develop quantitative trading signals/models.
• Support production trading operations.

Skills

Programming in Python

Problem-solving

Analytical skills

Education

PhD in Mathematics, Statistics, Computer Science, Machine Learning or Physics

Tools

Data analysis tools

Machine learning techniques

Job description

Quantitative Researcher │PhD and Post-Doc

Quantitative Researcher │PhD and Post-Doc

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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance

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