Why This Role Stands Out
This hybrid role offers a fantastic opportunity to drive innovation in quantitative macro strategies, developing cutting-edge trading signals and contributing to a robust research platform. You'll thrive here if you possess strong analytical skills, a passion for market research, and a collaborative spirit, with a competitive compensation package reflecting your expertise. Embrace this chance to advance your career in a dynamic London-based environment.
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
5 days ago
MATLABFixed IncomePython
Job Description
What You’ll Be Doing:
- Generate and explore new alpha ideas grounded in both academic research and real-world market intuition
- Design and implement systematic trading signals across macro asset classes, with a focus on short- and medium-horizon models
- Work closely with the portfolio manager and trading group on all aspects of strategy design, including signal construction, portfolio optimization, risk frameworks, and execution
- Contribute to the continuous development of an internal research platform and infrastructure
- Stay ahead of the curve on new technologies, data sources, and academic insights relevant to systematic investing
What We’re Looking For:
- 4–6 years of experience in a quantitative research role, ideally within a collaborative hedge fund or asset management environment
- Demonstrated success developing and deploying alpha signals in futures or FX markets
- Strong applied programming skills, preferably in Python (other languages such as R or MATLAB also considered)
- Advanced degree (Master’s or PhD) in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Financial Engineering, or Economics
- Independent thinker with a strong analytical mindset and an ability to translate complex ideas into practical solutions
- Excellent communication and a team-first mindset
Bonus Points For:
- Familiarity with macro markets including fixed income, commodities, equity indices, and currencies
- Experience working with alternative and large-scale datasets to extract investment-relevant features
- Research or professional background in quantitative macro, asset pricing, econometrics, or related fields
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