Quantitative Researcher - Prediction Markets, Quant 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

We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: data engineering, research, modeling, and close collaboration with traders, across sports and non-sports event markets and a range of contract types, including single-outcome markets, player props, and parlays.

Responsibilities

• Build data foundation, transform raw data into pricing inputs
• Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets
• Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays
• Partner closely with traders to improve pricing logic, market coverage, and trading performance
• Build frameworks for backtesting, simulation, and model validation
• Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes
• Help define the tooling, workflow, and research standards for a new team

Requirements

• Strong quantitative background in statistics, math, ML, economics, or a 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, strong communication skills and comfortable with fast-paced high growth environment

Life @ Crypto.com

Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.

Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions.

Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.

Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.

One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.

Work Flexibility Adoption. Flexi-work hour and hybrid set-up

Aspire career alternatives through us - our internal mobility program offers employees a new scope.

Benefits

• Competitive salary
• Attractive annual leave entitlement including: birthday, work anniversary
• 401(k) plan with employer match
• Eligible for company-sponsored group health, dental, vision, and life/disability insurance
• Work Flexibility Adoption. Flexi-work hour and hybrid set-up
• Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
• Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.

About Crypto.com

Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.

Learn more at https://crypto.com .

Crypto.comis an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.

Personal data provided by applicants will be used for recruitment purposes only.

Please note that only shortlisted candidates will be contacted.

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.

Are you ready to kickstart your future with us?