We are working with a leading quantitative hedge fund looking to hire exceptional PhD candidates from the world’s top universities.
This is an opportunity to apply advanced research to real financial markets. You will work alongside experienced quantitative researchers, traders and engineers, with access to significant data, computing resources and direct feedback from live trading.
The role
- Research and develop systematic trading strategies within an automated trading framework
- Analyse large and complex datasets using advanced statistical and machine learning techniques
- Identify predictive signals and translate research into production trading strategies
- Build a detailed understanding of market microstructure across different exchanges and asset classes
- Evaluate strategy performance and continuously improve live models
- Collaborate with researchers, traders and engineers across multiple regions
Who we are looking for
- PhD completed or nearing completion (within next 12 months max) from a leading global university
- Strong academic background in Mathematics, Statistics, Physics, Computer Science, Machine Learning, Econometrics, Operations Research or a related quantitative field
- Evidence of exceptional research ability, such as publications, academic awards or work on technically demanding problems
- Strong programming skills in Python or C++
- Confidence working with large datasets and developing rigorous statistical models
- Excellent problem-solving and communication skills
- Interest in applying research to competitive, real-world problems
Previous experience in finance is not required. Candidates from academic and research backgrounds are strongly encouraged to apply.
This opportunity offers highly competitive compensation, exceptional technical resources and the chance to see your research have a measurable, real-world impact.