Quantitative Researcher AI / Machine Learning

About Our Client

Our client is a reputable quant trading firm seeking an AI / Machine Learning Researcher to develop predictive models to support trading desks. You will apply advanced research methods to complex datasets, investigate market behaviour and translate your findings into systematic investment signals.

We welcome experienced researchers and recent PhD graduates from quantitative finance, technology companies, AI research labs or academia. Prior financial markets experience is not essential.

Job Responsibilities

• Research and develop machine learning models to identify predictive patterns in financial and alternative datasets.
• Apply deep learning, time-series modelling, NLP / large language models or reinforcement learning to investment research.
• Design rigorous experiments, develop features and evaluate models through backtesting and out-of-sample validation.
• Investigate model robustness, overfitting and performance across changing market conditions.
• Work closely with quantitative researchers and engineers to translate research into scalable production models.
• Explore advances in AI and assess their practical application to financial markets.

Work Experience and Requirements

• An advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics or a related quantitative discipline; a PhD is preferred.
• Recent PhD graduates are encouraged to apply. Relevant doctoral research can demonstrate the research experience required for this role.
• A strong research track record in machine learning, deep learning or a related field, demonstrated through doctoral research, publications, industry projects or deployed models.
• Deep expertise in one or more areas such as time-series modelling, sequence modelling, NLP / LLMs or reinforcement learning.
• Strong programming skills in Python and practical experience with PyTorch, JAX or similar frameworks.
• Solid mathematical and statistical foundations, with the ability to design experiments and critically evaluate results.
• Experience working with large, noisy or unstructured datasets.
• An interest in financial markets and applying AI to investment problems. Prior financial services experience is welcome but not essential.

Application Process

Interested candidates should submit their resume to Tina Wang at [Confidential Information], quoting Quantitative Researcher – AI / Machine Learning in the subject line. Only shortlisted candidates will be contacted.

License No: 24S2395

Registration No: R2090553