Job Description
We’re partnering with a high-performing, research-driven team in a systematic trading environment, tackling complex, real-world prediction and optimisation challenges.
This role sits at the intersection of machine learning research, mathematical modelling, and high-performance computing, with a focus on designing, testing, and deploying models in data-rich, noisy, and highly dynamic environments where precision, speed, and robustness are critical.
You’ll develop novel machine learning models for large-scale predictive systems, apply statistical and probabilistic techniques to real-world data, and design rigorous experiments to evaluate performance.
The work also includes simulation-driven approaches such as Monte Carlo and stochastic systems, alongside building high-performance implementations in Python and/or C++, collaborating closely with engineers and researchers to optimise models at scale.
We’re looking fo...