Quant Researcher: Prediction Markets & Trading

Crypto.com; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

401(k) plan with employer match

Health, dental, vision insurance

Life/disability insurance

Flexible/hybrid work setup

Internal mobility program

Job summary

Crypto.com is building a new quantitative research team focused on pricing, market-making and risk models for prediction markets. This is a highly hands-on role covering data engineering, research, modeling, and close collaboration with traders across event markets and various product types.

The candidate will develop data foundations, pricing and risk models, backtesting and performance monitoring, and help set tooling and standards for a new team in a fast-growing environment.

Qualifications

• Strong quantitative background in statistics, math, ML, economics, or related field.
• Experience building models in trading, sports, betting, prediction markets or similar domains.
• Strong Python/data skills and comfort owning data pipelines as well as modeling.
• Ability to move quickly from raw data to research insight to production-ready mode.
• High ownership and strong communication skills in a fast-growing environment.

Responsibilities

• Build data foundation and transform raw data into pricing inputs.
• Research and develop quantitative pricing, market-making, and risk models for sports and non-sports markets.
• Model cross-market dependencies and portfolio effects for complex products like parlays.
• Partner with traders to improve pricing, market coverage, and performance.
• Build backtesting, simulation, and model validation frameworks.
• Create tools to monitor model performance and live trading outcomes.
• Help define tooling, workflow, and research standards for a new team.

Skills

Quantitative background

Python/data skills

Data pipelines

Research to production

Communication

Tools

Python

Job description

Crypto.com is building a new quantitative research team focused on pricing, market-making and risk models for prediction markets. This is a highly hands-on role covering data engineering, research, modeling, and close collaboration with traders across event markets and various product types.

The candidate will develop data foundations, pricing and risk models, backtesting and performance monitoring, and help set tooling and standards for a new team in a fast-growing environment.