Data Scientist, Market Making
FanDuel · Jersey City, New Jersey, United States
About this role
## Data Scientist, Market Making **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. **THE GAME PLAN** **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 production • Manage data preparation from collection through cleaning; build robust models with strong feature and model selection **Pricing & Automation Research** • 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 **Performance Analysis & Monitoring** • Create dashboards, diagnostics, and data visualizations for model health, execution quality, and communication • Conduct post-event and post-trade analysis to identify opportunities to improve pricing and automation • Evaluate model performance using historical results, live observations, and key metrics **Trading Tools & Platform Collaboration** • Work with engineering and product teams to improve trading tools, controls, and operational reliability • Contribute to a production code environment; provide feedback on platform behavior and new feature validation **THE STATS** **Quantitative & Data Science Experience** • Experience in data science, analytics, quantitative research, or engineering preferred • Bachelor's degree in a highly numerate major (Math, Stats, Econ, Computer Science, Engineering, etc.) or relevant experience • Strong proficiency in Python or R and SQL • Experience building and deploying models for production products and tools • Experience with simulation or back testing is a plus **Market Making & Sports Context** • Interest or experience in sports betting, prediction markets, DFS, or fantasy sports • Familiarity with pricing dynamics, market behavior, or real-time decision environments is a plus **Communication & Collaboration** • Strong verbal and written communication skills; ability to work across teams, locations, and time zones • Comfortable with command line tools, GitHub, and object-oriented design and coding • Flexible schedule including occasional evenings, weekends, and holidays based on the sporting calendar **Salary Range:** $98,000 - $152,250 USD (dependent on experience, location, and market demand) **Benefits:** Medical, vision, and dental insurance; life insurance; disability insurance; 401(k) matching; paid time off; 14 paid company holidays; eligibility for short-term or long-term incentive compensation **Position Type:** Hybrid
Listing freshness
CronJobs last confirmed this listing 9h ago. If its source stops confirming the opening for seven days, this page is removed from active inventory.