Quantitative Researcher - Prediction Markets, Quant Trading

P2P; Dallas (TX); On-site; USD 100,000 - 150,000; Full time

Job summary

Crypto.com is establishing a new quantitative research team in Dallas, focusing on pricing and market-making for prediction markets. This position requires building data foundations, conducting market research, and developing risk models in collaboration with traders.

The ideal candidate will possess a strong quantitative background, experience in trading or prediction markets, and proficiency in Python. The role offers a competitive salary in the range of $100,000 to $150,000 per year, with opportunities for growth in a fast-paced environment.

Qualifications

• Strong quantitative background in statistics, math, ML, economics, or a related field.
• Experience building models in trading, sports, betting, or prediction markets.
• Strong Python/data skills and comfort owning data pipelines.

Responsibilities

• Build data foundation, transform raw data into pricing inputs.
• Research and develop quantitative pricing and market-making models.
• Partner closely with traders to improve pricing logic and performance.

Skills

Quantitative analysis

Data engineering

Python

Statistics

Machine Learning

Communication

Education

Degree in statistics, math, ML, economics, or related field

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, a cross 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

$100,000 - $150,000 a year