Quant Data Scientist - Market Making & Trading Tools

Socket.dev; Jersey City (NJ); Hybrid; USD 98,000 - 152,000; Full time

Benefits offered by this job

Health benefits

PTO and leave

Bonus programs

401k with match

Commuter benefits

Pet insurance

Job summary

FanDuel Group seeks a data science/quant role to build and productionize predictive models for automated pricing and trading in a sports context. You will collaborate with traders, quant engineers, and product teams to translate data into models improving price quality, execution, and risk management.

Expect a flexible schedule tied to live events, with potential evenings and weekends. You will contribute to model health dashboards, monitoring, and cross-team tooling, across FanDuel’s national

Qualifications

• Experience in data science, analytics, quantitative research, or engineering preferred.
• Bachelor's degree in a highly numerate major (Math, Stats, Econ, CS, Eng) 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.

Responsibilities

• 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.

Skills

Data science

Python

SQL

Model deployment

Backtesting

Quantitative research

Education

Bachelor's degree in numerate field

Tools

GitHub

Job description

FanDuel Group seeks a data science/quant role to build and productionize predictive models for automated pricing and trading in a sports context. You will collaborate with traders, quant engineers, and product teams to translate data into models improving price quality, execution, and risk management.

Expect a flexible schedule tied to live events, with potential evenings and weekends. You will contribute to model health dashboards, monitoring, and cross-team tooling, across FanDuel’s national