We are seeking a talented Quantitative Researcher to join a high-performing systematic equity strategies team based in London. The ideal candidate will have a passion for alpha generation, data-driven research, and quantitative modeling, combined with strong communication skills to collaborate effectively both in-person and remotely.
Responsibilities:
- Partner with the Senior Portfolio Manager (SPM) to drive alpha research, focusing on:
- Idea generation and exploration of systematic equity strategies.
- Data gathering, analysis, and research on both traditional and alternative datasets.
- Implementation and backtesting of predictive models for integration into the investment process.
- Utilize a combination of financial acumen and advanced statistical learning techniques to build robust predictive models.
- Work closely with the SPM to participate in the full investment process in a highly transparent and collaborative environment.
Preferred Experience:
- Equities Expertise: 3–5 years of hands-on experience with cash equity strategies, focusing on alpha research and model development.
- Data Insights: Proven ability to work with fundamental, event-related, and alternative data sources to uncover investment opportunities.
- Quantitative Skills: Demonstrated capability in combining financial insights with statistical methods to create high-quality systematic strategies.
- Programming Expertise: Advanced proficiency in Python for data analysis and model development is essential.
- Educational Background: A Master’s or Ph.D. in a quantitative discipline, such as Computer Science, Applied Mathematics, or Statistics, from a top-ranked institution.
This role offers an exciting opportunity to work at the cutting edge of systematic equity trading within a globally recognized fund. If you have a passion for innovation, a strong quantitative background, and a collaborative mindset, we would love to hear from you.
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