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- Tasks: Conduct research on systematic strategies using large datasets and machine learning techniques.
- Company: Join a globally respected hedge fund known for its collaborative and idea-driven environment.
- Benefits: Enjoy access to world-class infrastructure and significant career growth opportunities.
- Why this job: Be part of a low-politics team that values intellectual honesty and collaboration.
- Qualifications: 4-6 years of experience in systematic research with strong programming skills in Python.
- Other info: Ideal for those looking to make a real impact in a supportive research culture.
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 or seminars where you can meet potential colleagues and learn about their experiences.
✨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 the latest trends in systematic research and quantitative finance. Being able to discuss recent developments and how they relate to the role will show your passion and commitment to the field.
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 it fits with their team culture.
Showcase Relevant Projects: If you have worked on significant projects involving machine learning techniques or advanced statistical modelling, summarise these in your application. Highlight the outcomes and how they contributed to alpha strategies.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Ensure there are no typos or grammatical errors, as attention to detail is crucial in this field. A polished application reflects your professionalism.
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 coding skills and be familiar with handling large datasets.
✨Emphasise Collaboration Skills
This role values collaboration, so share examples of how you've worked effectively within teams. Discuss how you’ve collaborated with portfolio managers or technologists in the past, and how you can contribute to a highly integrative research culture.
✨Prepare for Statistical Discussions
Given the emphasis on advanced statistical modelling and time-series analysis, be ready to discuss your analytical mindset. Prepare to explain complex statistical concepts in simple terms, as this will showcase your fluency in statistics and your ability to communicate effectively.
