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Algorithmic Trading Senior Manager Jersey

Job in New York, New York County, New York, 10261, USA
Listing for: FanDuel
Full Time position
Listed on 2026-06-04
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 156000 - 204750 USD Yearly USD 156000.00 204750.00 YEAR
Job Description & How to Apply Below
Position: Algorithmic Trading Senior Manager Jersey City
Location: New York

THE POSITION

Fan Duel 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 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 duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN

Everyone on our team has a part to play.

Core Trading Responsibilities
  • Design and deploy automated market‑making algorithms for sports betting markets, optimizing for expected revenue, capital efficiency, and risk management
  • Manage day‑to‑day operations and execution of the algorithmic trading team that ensures 24/7 coverage and optimization
  • Build and maintain statistical forecasting models for sports outcomes, incorporating real‑time data feeds, line movements, and market signals
  • Manage order flow and position risk across thousands of simultaneous markets, including combo markets ensuring +EV positions while maintaining appropriate risk exposure
  • Aggregate and synthesize pricing data from multiple sources including APIs, web scraping, and third‑party providers to inform trading decisions
  • Collaborate with engineering teams to improve trading infrastructure, UIs, reduce latency, and enhance system reliability
  • Monitor and optimize P&L and trading performance, building and communicating trading strategies prior to significant events and conducting post‑mortems following the events.
  • Develop and define risk optimization strategies to optimize capital utilization
The Stats

What we're looking for in our next teammate.

Trading & Markets Experience
  • 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, including liquidity provision and position management
  • Familiarity with trading APIs and programmatic order execution
  • Strong programming ability in Python, C++, Java, Golang, or similar languages for production trading systems
  • Experience building statistical models and applying machine learning techniques to forecasting problems
  • Proficiency with data collection via APIs or web scraping
  • Comfortable working with large datasets and performing rapid quantitative analysis
  • Understanding of low‑latency systems and performance optimization (preferred)
Domain Knowledge
  • Deep knowledge of sports betting markets and experience trading on traditional bookmakers
  • Understanding of sports statistics, handicapping, and predictive modeling for sports outcomes
  • Familiarity with different bet types (spreads, totals, moneylines, props, parlays, etc.)
  • Experience with poker, DFS, fantasy sports, or other skill‑based competitive games involving game theory is a plus
Key Attributes
  • Bias toward action – you move quickly while maintaining attention to critical details
  • Data‑driven decision maker – you leverage analytics to drive strategy and measure success
  • Collaborative – you work effectively across trading, engineering, and risk teams
  • Resilient under pressure – you perform well in fast‑paced, high‑stakes environments
  • Intellectually curious – you continuously seek to understand market…
Position Requirements
10+ Years work experience
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