Description

We are partnering with a leading quantitative trading and digital assets firm seeking a Prediction Markets Trader to join a rapidly growing team focused on event-driven markets. This opportunity is ideal for someone who combines strong quantitative reasoning, excellent market instincts, and a passion for emerging trading venues.

You will play a key role in researching, executing, and scaling strategies across prediction markets, with exposure to a broad range of products tied to real-world events including politics, sports, economics, weather, and other high-impact outcomes.

This position offers significant autonomy, direct impact on trading performance, and the opportunity to help build trading infrastructure and processes within a fast-moving, entrepreneurial environment.

Key Responsibilities

1. Manage and execute trading strategies across prediction market venues and event-driven products.
2. Monitor real-time market activity and identify profitable opportunities arising from mispriced probabilities and market inefficiencies.
3. Research and develop quantitative trading models to improve forecasting accuracy and execution performance.
4. Analyze large datasets and market signals to generate actionable trading insights.
5. Collaborate with engineering and research teams to enhance automation, execution systems, and trading workflows.
6. Build tools for monitoring positions, risk, liquidity, and market activity.
7. Evaluate new prediction products, trading venues, and market structures as the ecosystem evolves.
8. Provide coverage during major market events where volatility and trading activity increase significantly.
9. Contribute to risk management, portfolio construction, and capital allocation decisions.
10. Support the continued growth and development of the firm's prediction markets initiatives.

Required Qualifications

1. 1-4 years of experience in trading, quantitative research, software engineering, gambling markets, sports betting, or a highly analytical field.
2. Strong Python programming skills with the ability to build analytical tools and work with market data.
3. Excellent quantitative, statistical, and problem-solving abilities.
4. Demonstrated interest in prediction markets, event-driven trading, sports markets, or forecasting-based products.
5. Strong understanding of probability, expected value, and risk-reward dynamics.
6. Ability to make high-quality decisions in fast-moving environments.
7. Self-starter with an ownership mindset and strong commercial instincts.
8. Comfortable operating across trading, research, analytics, and operational responsibilities.
9. Strong communication skills and ability to work effectively in a collaborative team.

Preferred Experience

1. Background in sports trading, betting exchanges, prediction markets, or market making.
2. Experience trading crypto assets, derivatives, or electronic financial markets.
3. Knowledge of statistical modeling, machine learning, or quantitative forecasting techniques.
4. Familiarity with APIs, automated trading systems, and real-time data infrastructure.
5. Interest in macroeconomic, political, or event-driven market themes.