Prediction Markets Trader (Nights & Weekends)

Job description

Virtu is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets and innovative, transparent trading solutions to our clients. As a market maker, Virtu provides deep liquidity that helps to create more efficient markets around the world. Our market structure expertise, broad diversification, and execution technology enables us to provide competitive bids and offers in over 19,000 securities, at over 235 venues, in 36 countries worldwide. ## The Role We are seeking a sharp, reliable, and self-directed **Prediction Markets Trader** to cover our prediction markets book during nights and weekends. This is a unique role sitting at the intersection of trading, market operations, and emerging alternative markets. The ideal candidate thrives in a fast-moving, lower-supervision environment, exercises strong independent judgment, and takes genuine ownership of their responsibilities. ### Key Responsibilities **Trading & Monitoring** - Monitor live prediction market positions across platforms (e.g., Kalshi, Polymarket, Manifold, PredictIt) during assigned night and weekend shifts - Track real-time event resolution, market liquidity, and price movements; flag anomalies or unexpected developments - Maintain position awareness and escalate risk concerns to senior traders or risk management per established protocols - Execute straightforward trades and position adjustments within pre-defined risk parameters - Monitor automated systems and alert on model or execution anomalies **Operations** - Manage platform-level operational tasks including instrument definitions and account maintenance across exchanges - Ensure accurate trade capture and reporting; escalate breaks or discrepancies promptly - Document market events, resolutions, and any operational incidents during shift - Coordinate handoffs with the day shift trading team, providing clear and concise written summaries each morning - Assist in onboarding to new prediction market platforms as the landscape evolves Our ideal candidate is dependable, trustworthy and has the confidence to oversee our trading business during atypical working hours. This candidate will also have the opportunity to work closely with software engineers to enhance and further develop the firm's trading strategies. Our Traders not only become experts in trading technology and its interaction with the market, but they also play a crucial role in the evolution of market microstructure and the driving forces behind liquidity. This is an excellent opportunity for the right person to join a collaborative, fast-growing team, while learning trading at a leading market maker. ## Qualifications ### Required - Bachelor’s degree in a quantitative field preferred. Strong graduates will also be considered. - High degree of personal responsibility, reliability, and attention to detail. - Strong understanding of probability, expected value, and basic statistics. - Experience with basic scripting (Python, SQL) for monitoring or data analysis. - Ability to work independently with minimal supervision during off-hours. - Excellent written communication skills for shift handoff notes and incident documentation. - Comfort operating across multiple software platforms simultaneously. ### Preferred - Demonstrated familiarity with prediction markets - either professionally or as a serious participant - Prior experience trading on Kalshi, Polymarket, or similar platforms - Background in market making, statistical arbitrage, or event-driven trading ## The Process After applicants pass an initial resume screening, an online programming test will be sent via email. This test is from a service called HackerRank so please be on the lookout. After passing the programming test, we will contact you to arrange a phone screen with one of our recruiters. --- *Virtu Financial is an equal opportunity employer, committed to a diverse and inclusive workplace, welcoming you for who you are and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.*