At a Glance
- Tasks: Develop and apply cutting-edge machine learning solutions for systematic trading.
- Company: Leading hedge fund with a collaborative, research-driven culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work with a selective team and gain exposure across multiple asset classes.
- Why this job: Shape the future of machine learning in finance and make a real impact.
- Qualifications: PhD or Master’s in ML, strong publication record, and proficiency in Python.
The predicted salary is between 70000 - 90000 £ per year.
A leading systematic hedge fund, known for its collaborative, research-driven culture, is seeking a Machine Learning Specialist to apply cutting‑edge ML techniques to enhance trading strategies and infrastructure.
This first‑of‑its‑kind role places you as a subject‑matter expert in ML, working across asset classes and strategies to develop scalable, high‑impact solutions.
The company’s selective team (predominantly Ivy League/Oxbridge graduates) and multi‑strategic, multi‑asset approach offer a unique opportunity to shape the future of machine learning in systematic finance.
Key Responsibilities
- Develop and apply machine‑learning solutions; identify opportunities to integrate ML into alpha generation, execution, and risk management.
- Collaborate across teams; work with quant researchers, traders, and engineers across equities, macro, and volatility strategies.
- Own the end‑to‑end ML research pipeline, from feature extraction to production deployment.
- Leverage advancements in deep learning, NLP, reinforcement learning, and other AI techniques to enhance systematic trading.
- Apply ML methodologies across equities, volatility (rates/converts), commodities, FX, and credit.
Qualifications
- Ph D or Master’s in Machine Learning, Computer Science, Applied Mathematics, or a related field.
- Strong publication record in top ML/AI conferences.
- Ability to craft ML solutions for high‑performance trading environments.
- Extensive NLP and feature engineering experience.
- Proficiency in Python, Tensor Flow, Py Torch, Scikit‑learn, and distributed computing.
- Quantitative finance exposure.
- #J-18808-Ljbffr
Machine Learning Specialist - Systematic Trading employer: Durlston Partners
Join a dynamic and innovative FinTech company that is redefining cross-border payments with a fully remote work culture that promotes flexibility and autonomy. With competitive compensation, including equity options, and a strong focus on employee growth, you'll have the opportunity to make a significant impact while collaborating with a globally distributed team. This role offers a unique chance to take ownership of product development in a high-growth environment, ensuring your contributions are both meaningful and rewarding.
