Quantitative Researcher - Prediction Markets, Quant Trading

Role overview

Crypto.com is forming a new quantitative research function centered on pricing, market making, and risk modeling for prediction markets. This role is very hands-on and expects someone who can work across the full workflow: data engineering, research, modeling, and direct partnership with traders. The work spans both sports and non-sports event markets, covering contract types such as single-outcome markets, player props, and parlays.

What you will do

• Create the data layer needed to convert raw information into usable pricing inputs.
• Design and improve quantitative models for pricing, market making, and risk across sports, non-sports, player props, parlays, and correlated markets.
• Analyze dependencies between markets, correlation structures, and portfolio-level impacts, with special attention to combinatorial products like parlays.
• Work side by side with traders to strengthen pricing rules, expand market coverage, and improve trading results.
• Develop frameworks for backtesting, simulation, and validating model performance.
• Build monitoring tools to track calibration, P&L attribution, live trading behavior, and overall model health.
• Help shape the team’s tooling, operating processes, and research standards from the ground up.

What the role calls for

• A strong quantitative foundation in statistics, mathematics, machine learning, economics, or a closely related discipline.
• Prior experience building models in trading, sports, betting, prediction markets, or similar environments.
• Advanced Python and data skills, including comfort with both data pipelines and model development.
• The ability to go quickly from raw data to actionable research and then into production-ready outputs.
• High ownership, strong communication skills, and comfort working in a fast-moving, high-growth setting.

Additional information

The role is based in London, England, United Kingdom and is a full-time onsite position.

AI-assisted review notice

The company may use AI tools to compare your resume or CV with the role requirements to help the recruitment team review applications. These tools are only intended to support the process and do not replace human judgment. Final hiring decisions are made by people. If you want more information about how your personal data is processed, you can contact the company directly.