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- Tasks: Conduct research on systematic strategies using large datasets and machine learning.
- Company: Join a globally respected hedge fund known for collaboration and innovation.
- Benefits: Enjoy top market compensation and access to world-class resources.
- Why this job: Be part of a team that values ideas and fosters career growth.
- Qualifications: 4-6 years of experience in systematic research and strong programming skills required.
- Other info: Work in a low-politics environment with significant impact potential.
The predicted salary is between 72000 - 108000 £ per year.
Location: London / New York
Comp: Top of market
We are working with a globally respected, collaborative hedge fund seeking a talented Systematic Researcher to join its core research team. This is an opportunity to take a central role in shaping and evolving alpha strategies within a rigorous, idea-driven environment — without the siloed structure of pod-based funds.
What You’ll Do:
- Conduct end-to-end research on systematic strategies across liquid asset classes (equities, futures, FX, or rates).
- Leverage large datasets, machine learning techniques, and advanced statistical modelling to uncover persistent sources of alpha.
- Collaborate closely with other researchers, portfolio managers, and technologists in a highly integrative research culture.
- Iterate and improve signal construction, portfolio optimization, and risk models with access to world-class infrastructure and tooling.
What We’re Looking For:
- 4–6 years of systematic research experience at a top collaborative hedge fund (e.g., DE Shaw, Two Sigma, AQR, PDT, Cubist, etc.).
- Deep expertise in alpha signal research, with a proven track record of contributions to production strategies.
- Strong programming skills in Python (or similar), and comfort working with large, noisy datasets.
- A highly analytical mindset with fluency in statistics, probability, and time-series analysis.
- Advanced degree (Master’s or PhD) in a quantitative discipline preferred, but not required.
Why This Role:
- Join a high-conviction, low-politics team that values idea meritocracy and intellectual honesty.
- Work alongside researchers and PMs who are genuinely collaborative — not siloed or secretive.
- Access deep resources and institutional-grade infrastructure to bring ideas to life quickly and at scale.
- Significant upside and career growth for researchers who drive real impact.
Systematic Researcher - Global Hedge Fund (4-6 Years\' Experience)/ London £ High employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Researcher - Global Hedge Fund (4-6 Years\' Experience)/ London £ High
✨Tip Number 1
Network with professionals in the hedge fund industry, especially those who have experience at top firms like DE Shaw or Two Sigma. Attend industry conferences and seminars to meet potential colleagues and learn about the latest trends in systematic research.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects or creating your own portfolio of systematic research projects. This will demonstrate your ability to work with large datasets and apply machine learning techniques effectively.
✨Tip Number 3
Engage in discussions on platforms like LinkedIn or relevant forums about alpha signal research and statistical modelling. Sharing your insights and learning from others can help you build a reputation in the field and connect with like-minded professionals.
✨Tip Number 4
Prepare for interviews by familiarising yourself with common case studies and problems faced in systematic research. Practising how to articulate your thought process and solutions will help you stand out during the interview process.
We think you need these skills to ace Systematic Researcher - Global Hedge Fund (4-6 Years\' Experience)/ London £ High
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your systematic research experience, particularly in alpha signal research. Include specific examples of your contributions to production strategies and any relevant programming skills, especially in Python.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your analytical mindset and experience with large datasets align with the job requirements. Mention your collaborative approach and how you can contribute to the team's success.
Showcase Relevant Projects: If applicable, include a portfolio or a brief description of projects where you've leveraged machine learning techniques or advanced statistical modelling. This will demonstrate your practical experience and ability to work with complex data.
Proofread and Edit: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that there are no typos or grammatical errors, as attention to detail is crucial in this field.
How to prepare for a job interview at Eka Finance
✨Showcase Your Research Experience
Be prepared to discuss your previous systematic research projects in detail. Highlight specific strategies you've developed, the methodologies you used, and the outcomes achieved. This will demonstrate your hands-on experience and ability to contribute to their alpha strategies.
✨Demonstrate Technical Proficiency
Since strong programming skills in Python (or similar) are crucial, be ready to discuss your coding experience. You might even be asked to solve a technical problem during the interview, so brush up on your programming skills and be familiar with handling large datasets.
✨Emphasise Collaboration Skills
This role requires working closely with other researchers and portfolio managers. Share examples of how you've successfully collaborated in past roles, focusing on your ability to communicate complex ideas clearly and work within a team-oriented environment.
✨Prepare for Analytical Questions
Expect questions that test your analytical mindset, particularly around statistics, probability, and time-series analysis. Review key concepts and be ready to explain how you've applied them in your research to uncover sources of alpha.
