Systematic Prediction Markets Trader
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-06-18
Listing for:
Venture Search
Full Time
position Listed on 2026-06-18
Job specializations:
-
Finance & Banking
Data Scientist, Financial Analyst, Capital Markets, Financial Advisor / Consultant
Job Description & How to Apply Below
Location
New York, Chicago, London, Singapore or Remote
CompensationDraw + market leading formulaic PnL clip
RoleWe are currently working with an established Systematic Trading firm, who are building a world-class global systematic Prediction Markets Trading franchise, with seasoned Traders already on the team from Traditional Finance Markets, Prediction markets, Sports Exchanges and Event-Driven Trading.
The successful incumbent will have an opportunity to design and execute trading strategies across a range of event-driven markets, including politics, economics, sports, entertainment, and real-world outcomes with substantial capital backing from the firm.
Responsibilities- Develop and execute profitable trading strategies across prediction markets and event contracts
- Analyse probabilities, pricing discrepancies, and market inefficiencies
- Trade election, macroeconomic, geopolitical, sports, and special-event markets
- Monitor news flow and real-time developments impacting market outcomes
- Identify arbitrage opportunities across exchanges and venues
Collaborate with quantitative researchers to improve forecasting models - Assist in the development of automated and systematic trading strategies
- Manage portfolio risk and position sizing across multiple event categories
- Experience trading prediction markets, sports betting exchanges, options, futures, crypto, or other event-driven markets
- Strong understanding of probability, statistics, and expected value
- Excellent analytical and quantitative skills
- Knowledge of market microstructure and liquidity dynamics
- Strong attention to detail and intellectual curiosity
- Ability to process large volumes of information quickly and accurately
- Python, R, SQL, or similar analytical tools and Machine learning or statistical modelling experience
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