Quant Trading Intern
Fasanara Capital is an alternative asset manager offering institutional investors fintech lending and digital asset investment strategies.
Projects
About Fasanara Capital
Fasanara Capital is a London-based alternative asset manager focused on fintech lending and digital asset investing for institutional clients. It offers strategies spanning trade receivables, consumer loans, real estate credit, market-neutral crypto trading, and bespoke multi-asset portfolios. The firm operates a proprietary credit platform integrating a global network of fintech loan originators with machine learning analytics.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will investigate live and historical market data to identify potential trading edges and structural inefficiencies. You will design and backtest models under realistic execution constraints, support active cross-exchange arbitrage or basis strategies, and build production-quality research and monitoring tools. You will document and present your findings, explaining and defending your methodology and conclusions.
Requirements
- Currently completing, or recently completed, a bachelor’s or master’s degree in a highly quantitative discipline.
- Demonstrated programming excellence and proficiency in Python.
- Working knowledge of SQL is an advantage.
- Evidence of quantitative depth through competition mathematics, academic performance, research, or independent projects.
- Sound judgement under ambiguity and willingness to revise positions based on data.
- Excellent written and verbal communication skills.
- Availability to start immediately.
Responsibilities
- Analyse live and historical market data to identify and validate trading edges or structural inefficiencies.
- Design and backtest models or signals under realistic execution constraints.
- Support a quantitative trader on active cross-exchange arbitrage or basis strategies.
- Contribute production-quality tooling to research and monitoring infrastructure.
- Present findings in writing and in person, and defend methodologies and conclusions.
Benefits
- Dedicated mentorship from a trader or researcher for the duration of the placement.
- Access to the same live trading venues and global trading platform used by the desk.
