Quantitative Researcher
Selini Capital is a crypto market participant and liquidity provider made up of researchers, traders and engineers from top trading firms, technology companies and research institutions. They generate alpha across on-chain and off-chain crypto markets, and partner closely with protocols and ecosystems such as dYdX to improve market efficiency.
About Selini Capital
Selini Capital is a team of researchers, traders and engineers from the most successful trading firms, technology companies and research institutions. Through a combination of expertise and creativity, Selini consistently generates alpha in the crypto world, both on and off-chain, with a mission to promote ecosystem growth by making digital asset markets more efficient and transparent. Selini is one of the world's largest crypto market participants, actively trading across centralized and decentralized exchanges, and provides liquidity provisioning services that reduce price slippage and enable orderly price discovery for investors. It partners closely with protocols and ecosystems, such as dYdX, acting as a sophisticated, involved, and vision-aligned partner.
Skills
About the Role
You'll join a high-frequency trading team focused on refining features, designing better models, and advancing core research pipelines. You'll collaborate closely with other researchers and engineers to push the boundaries of what's possible in highly competitive electronic markets. You'll work with data, build systems to understand it, and use that understanding to drive performance.
Requirements
- 2-7 years of experience in quantitative research, applied ML, or statistics
- Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations
- Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques
- Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior
- Can take research ideas from concept to experimental evaluation with minimal supervision
Responsibilities
- Design, test, and refine features and model architectures to improve prediction and execution performance
- Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster
- Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements
- Stay up-to-date on advances in quantitative methods, ML, and optimization, applying new insights to real-world challenges
Benefits
- Comprehensive benefits package
- Free lunch ordered to the office every day
- Competitive Annual Leave and Pension Contribution
- High-spec office with state of the art equipment and standing desks
- Monthly team breakfast
- Regular London onsites with focus groups coinciding with team dinners and evening events
- Annual Company Offsite in luxury location
- Inter-office travel encouraged