My client is a global hedge fund with approximately $80 billion in AUM, they are one of the largest hedge fund managers in the world. Headquartered in London, they also have offices in the US and across APAC. The culture is globally collaborative, tech-agnostic, and AI-native, with a mix of talent from leading financial institutions and top tech firms. Excellent compensation and benefits.
Finance experience is required. No trading strategies implementation experience required.
Role Overview
We are seeking a Python Developer to join the Quant Implementation team, a global team that sits at the heart of the systematic trading business. You will play a critical role in designing, developing, and maintaining alpha algorithms and portfolio construction processes, as well as resolving live trading challenges under demanding deadlines. You will collaborate closely with multiple investment and research teams, gaining exposure to a range of investment styles and asset classes.
Key Responsibilities:
- Alpha Development: Design, develop, and maintain alpha algorithms and portfolio construction processes.
- Research Verification: Verify research output and ensure efficient monetization of ideas in practice.
- Collaboration: Work closely with multiple investment and research teams across various asset classes.
- Codebase Management: Contribute to a large and complex codebase, applying best practices.
Required Skills & Experience:
- Experience: 4–6 years as a backend Developer.
- Coding: Strong backend Python development skills at an enterprise level.
- Data: Experience with SQL databases and working with large, complex datasets.
- Analytics: Strong data manipulation and analytical skills.
- Statistics: Good knowledge of statistics and ability to dive deep into problems.
- Soft Skills: Practical approach to problem-solving, strong analytical skills, good communication, and detail-oriented.
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