Senior Research Scientist - Applied AI - Multi-strategy Hedge Fund
My client is one of the largest multi-strategy hedge funds in the world with a track record for cutting edge technical advancement. They are seeking a Research Scientist to join their Applied AI team focusing on building their next generation of AI-powered investment tools. You will work on cutting‑edge research projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows.
This is an unparalleled environment for advancing the frontier of human and AI performance in investing. You will have access to the richest possible ecosystem: comprehensive data from every major vendor and proprietary sources, the most advanced models from across the industry, scalable compute, and exposure to a deep roster of world‑class investment teams.
What You’ll Get
* An opportunity to work in one of the most exciting and fast growing hedge fund businesses in the world.
* An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
* Incredible career progression opportunities with potential access to all areas of the business.
* A market leading compensation package including generous basic salary and annual bonus.
* Benefits including pension, private healthcare, life assurance and 25 days vacation.
What You’ll Do
* Conduct original research in machine learning, with a focus on reinforcement learning, agent architectures, and large language models.
* Prototype, develop, and help deploy new ML models and algorithms that power their AI capabilities.
* Collaborate with engineers to integrate research outputs into production systems used by portfolio managers, analysts, and researchers.
* Design experiments and analyse results to evaluate the effectiveness of new models and approaches.
* Work closely with end‑users to understand their needs and ensure research is aligned with practical, high‑impact applications.
* Contribute to the broader research community through publications, presentations, and open‑source contributions as appropriate.
* Mentor junior researchers and contribute to technical direction and strategy.
* Participate in the full research lifecycle from ideation and literature review through deployment and monitoring.
What You’ll Need
* PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
* Strong publication record in top‑tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
* Deep expertise in machine learning, with a focus on natural language processing (NLP), reinforcement learning (RL) or related areas.
* Experience developing and evaluating ML models in Python (PyTorch).
* Demonstrated ability to translate research into practical, scalable solutions.
* Strong programming skills and familiarity with modern software engineering practices.
Seniority level
* Mid‑Senior level
Employment type
* Full‑time
Job function
* Finance and Information Technology
* Industries: Financial Services, Investment Management, and Capital Markets
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