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ResearchMidOn-site
A leading quantitative investment firm focused on digital assets is seeking a Mid-Frequency/High-Frequency Quantitative Researcher to join its growing research team in London. You will work on the full research lifecycle, from generating alpha ideas and developing predictive signals through to implementation, deployment, monitoring, and optimisation of systematic trading strategies across cryptocurrency markets, including market-making, arbitrage, and other quantitative opportunities.
What you'll do
- Research and develop quantitative trading signals across digital asset markets
- Design and deploy systematic trading strategies from concept to production
- Monitor live strategy performance, risk exposures, and robustness
- Enhance and optimise existing models based on market developments and performance data
- Build analytical tools, dashboards, and monitoring frameworks
- Document research findings and present results clearly to stakeholders
- Collaborate with trading and engineering teams to improve research and execution workflows
What you bring
- 2+ years of experience in quantitative research, trading, or a related field
- An advanced degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Data Science, or a similar quantitative discipline
- Strong statistical and quantitative modelling skills
- Proficiency in Python and SQL
- Experience working with large-scale time-series datasets, ideally in medium- to high-frequency environments
- Comfort working within Linux-based research environments
- Strong problem-solving skills, attention to detail, and the ability to manage multiple research projects simultaneously
- A collaborative mindset with the ability to work independently
What research roles in crypto pay
84 salaries · our own dataMost research roles in crypto pay between $105k and $275k, with a median of $179k.