HWTS Global

About the Company

Established in 2015, HW Technology Solutions are proud to provide an unrivalled recruitment solution for clients looking to recruit top-tier talent for front office trading and quantitative roles. With a dedicated focus on Quant Researchers, Quant Developers, Quant Traders, Quant Analyst’s, and Data Scientists, we are your go-to partner for navigating the dynamic landscape of quantitative finance. Our expertise lies in understanding the intricate intersection of data and decision-making. Whether you're seeking professionals for front office trading, quantitative research, development, trading, or data science, we excel in identifying individuals who not only possess the right skills but also align with your organizational culture. At HW Technology Solutions we pride ourselves on a personalized approach, ensuring a seamless fit between candidates and companies. Our global reach allows us to tap into a diverse talent pool, providing you with access to the best minds in the industry. Join us in redefining the future of finance. Your success story begins with HW Technology Solutions. Please reach out to one of our consultants or contact us at info@hwtechsolutions.com to start the conversation.

Listed Jobs

Company Name

HWTS Global

Job Title

Machine Learning Researcher

Job Description

**Job Title:** Machine Learning Researcher **Role Summary:** Conduct advanced machine learning and statistical research to develop, validate, and deploy predictive models that generate alpha signals and support portfolio construction in systematic trading environments. **Expectations:** - Deliver research that translates into production‑ready strategies. - Demonstrate strong academic credentials and practical ML expertise. - Collaborate effectively with portfolio managers, engineers, and data scientists. **Key Responsibilities:** - Investigate and apply machine learning, deep learning, and reinforcement learning techniques to model market behavior. - Engineer predictive features from large, diverse, noisy datasets across equities, futures, and macro products. - Validate signals, ensure model explainability, and conduct robustness testing for live deployment. - Integrate models into trading frameworks and monitor performance in real time. - Identify and evaluate new data sources and ML methods to enhance signal coverage and performance. **Required Skills:** - PhD (or Master’s with 1–2 years experience) in a quantitative field (Machine Learning, Computer Science, Statistics, Physics, Mathematics, Engineering). - Strong background in machine learning, deep learning, or reinforcement learning. - Proficiency in Python; experience with PyTorch, TensorFlow, NumPy, Pandas, Scikit‑learn. - Solid grasp of statistical modeling, time‑series analysis, and data preprocessing. - Excellent problem‑solving and independent research abilities. - Preferred: familiarity with financial markets, quantitative trading, or asset pricing concepts. **Required Education & Certifications:** - Degree from a top 20 global university (e.g., Oxford, Cambridge, MIT, Stanford, Harvard, Princeton, ETH, Imperial). - Advanced degree (PhD or Master’s) in a quantitative discipline.

London, United kingdom

On site

06-01-2026