Data Scientist, Market Making
FanDuel is looking for a Data Scientist to join the Market Making team. This role involves the full lifecycle of predictive modelling, from initial research and data collection through to production deployment and ongoing monitoring. The successful candidate will build and improve the algorithmic decision systems that drive automated pricing and trading.
In this position, the Data Scientist will collaborate closely with algorithmic traders, quant engineers, and product teams. The primary objective is to translate sports, market, and operational data into sophisticated models that enhance price quality, execution quality, market competitiveness, and risk management. This role requires flexibility to accommodate the sporting calendar, including occasional work during evenings, weekends, and holidays tied to major live events.
- 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 and 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.
- 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.
- Work with engineering and product teams to improve trading tools, controls, and operational reliability.
- Contribute to a production code environment and provide feedback on platform behaviour and new feature validation.
- Identify opportunities to use data and models to improve automation, pricing, and business results.
- Experience in data science, analytics, quantitative research, or engineering (preferred).
- Bachelor's degree in a highly numerate major such as Math, Stats, Econ, Computer Science, or Engineering, or relevant experience (required).
- Strong proficiency in Python or R and SQL (required).
- Experience building and deploying models for production products and tools (required).
- Experience with simulation or back testing (nice-to-have).
- Interest or experience in sports betting, prediction markets, DFS, or fantasy sports (required).
- Familiarity with pricing dynamics, market behaviour, or real-time decision environments (nice-to-have).
- Strong verbal and written communication skills (required).
- Ability to work across teams, locations, and time zones (required).
- Comfortable with command line tools, GitHub, and object-oriented design and coding (required).
- Flexible schedule including occasional evenings, weekends, and holidays based on the sporting calendar (required).
- Health plans including programs for fertility and family planning, mental health support, and fitness benefits.
- Generous paid time off (PTO) and sick leave.
- Annual bonus and long-term incentive opportunities based on performance.
- 401k with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Medical, vision, and dental insurance.
- Life and disability insurance.
- 14 paid company holidays.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the North America, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Stardust Casino and TVG. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia. FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).