Algorithmic Trading Senior Manager

FanDuel is seeking an Algorithmic Trading Manager to assist in the build of our algorithmic trading team that will leverage our world-class sports pricing algorithms. Reporting to the Market Making Senior Director of Quants & Algorithmic Trading, this leader will be instrumental in building a team to operate and evolve sophisticated automated trading systems that optimize our ongoing positions within the market. This role will work at the intersection of sports betting, quantitative modeling, and real-time trading to ensure we optimize for expected revenue and capital allocation. This role will be involved with the development and performance of our algorithmic market-making trading strategies, collaborating closely with quants, product and engineering, and commercial teams. The work will directly impact millions of dollars in daily trading volume and ensuring that we are consistently staying within the bounds of our overall Risk parameters. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. Core Trading Responsibilities include designing and deploying automated market-making algorithms for sports betting markets, managing day-to-day operations of the algorithmic trading team, building and maintaining statistical forecasting models, managing order flow and position risk, aggregating pricing data, collaborating with engineering teams, monitoring and optimizing P&L and trading performance, and developing risk optimization strategies. The ideal candidate will have 5+ years of quantitative or algorithmic trading experience, a demonstrated track record of positive P&L, a deep understanding of market microstructure, and strong programming abilities in languages such as Python, C++, Java, or Golang. Key attributes include a bias toward action, data-driven decision making, collaboration, resilience under pressure, intellectual curiosity, and an ownership mindset. Team management skills are also essential, as the candidate will be responsible for building and developing high-performing teams.

5+ years of quantitative or algorithmic trading experience, preferably in sports betting, prediction markets, derivatives, or market-making; demonstrated track record of positive P&L through systematic trading strategies; deep understanding of market microstructure, liquidity provision, and order book dynamics; experience with automated trading systems; familiarity with trading APIs and programmatic order execution; strong programming ability in Python, C++, Java, Golang, or similar languages; experience building statistical models and applying machine learning techniques; proficiency with data collection via APIs or web scraping; understanding of low-latency systems and performance optimization; deep knowledge of sports betting markets; understanding of sports statistics, handicapping, and predictive modeling; familiarity with different bet types; experience with poker, DFS, fantasy sports, or other skill-based competitive games is a plus.