full-time
Senior Quant Researcher - Crypto
Fionics
- Employer
- Fionics
- Location
- London
- Working pattern
- on-site
About the role
Research and improve the high-frequency trading alpha stack, working across feature engineering, statistical modeling, signal development, and optimizer tuning. Develop research that can be deployed rapidly into live strategies and evaluated through its impact on PnL. Candidates should be rigorous, empirically minded researchers with strong Python and/or C++ skills and fluency in statistics and optimization. They should be able to take ideas from hypothesis through production independently; relevant evidence may include a PnL track record, olympiad achievement, or exceptional academic credentials, with 2–7 years of experience described as the typical range.