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.