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Data Scientist, Market Making

FanDuel · Jersey City, New Jersey, United States · On-site

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About FanDuel

FanDuel, launched in July 2009, is the undisputed leader in the one-week fantasy sports industry. Offering fantasy sports for NFL, MLB, NBA, and NHL, FanDuel targets the 30+ million adult fantasy sports players in North America. Backed by Tusk Venture Partners.

About the role

From research and data collection through production deployment and monitoring, you will build and improve the predictive models and algorithmic decision systems that power automated pricing and trading. Working closely with algorithmic traders, quant engineers, and product teams, you will translate sports, market, and operational data into models that improve price quality, execution quality, market competitiveness, and risk management.

What they're looking for

  • Develop, iterate, and deploy predictive models and algorithmic decision systems for automated pricing and market making
  • Partner with algorithmic traders and quant engineers to test, deploy, and refine models and strategy logic in production
  • Manage data preparation from collection through cleaning, build robust models with strong feature and model selection
  • Improve quoting, pricing, and exposure-management logic using sports data, market signals, and performance analysis
  • Build backtesting, simulation, and monitoring tools to evaluate model calibration and risk-adjusted performance
  • Construct models and analyses in response to questions from trading, product, and engineering stakeholders
More about this role

THE POSITION

Our roster has an opening with your name on it

From research and data collection through production deployment and monitoring, you will build and improve the predictive models and algorithmic decision systems that power automated pricing and trading. Working closely with algorithmic traders, quant engineers, and product teams, you will translate sports, market, and operational data into models that improve price quality, execution quality, market competitiveness, and risk management. This role requires flexibility around the sporting calendar, including occasional evenings, weekends, and holidays tied to major live events.

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.

THE GAME PLAN

Everyone on our team has a part to play

Model Development & Production

  • Develop, iterate, and deploy predictive models and algorithmic decision systems for automated pricing and market making
  • Partner with algorithmic traders and quant engineers to test, deploy, and refine models and strategy logic in...

Read the full posting on FanDuel's site ↗

Risk & Trading

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