2 дня назад
Data Scientist, Market Making (iGaming)
98 000 - 152 250$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist, Market Making (iGaming): Building and deploying predictive models and algorithmic decision systems for automated pricing and trading with an accent on sports data, market signals, and production model performance. Focus on backtesting, simulation, risk-adjusted performance analysis, and improving quoting, execution quality, and exposure management.
Location: Hybrid role based in Jersey City, New Jersey, United States; occasional evenings, weekends, and holidays may be required around major sporting events.
Salary: $98,000–$152,250 USD per year, dependent on experience, location, business needs, and market demand.
Company
is a mobile gaming and sports betting company operating sportsbook, iGaming, horse racing, daily fantasy sports, and streaming products in the United States, Canada, and other markets.
What you will do
- Develop, iterate, deploy, and monitor predictive models and algorithmic decision systems for automated pricing and market making.
- Partner with algorithmic traders, quant engineers, product, and engineering teams to refine models and strategy logic in production.
- Prepare sports, market, and operational data, including collection, cleaning, feature selection, and model selection.
- Build backtesting, simulation, dashboards, diagnostics, and monitoring tools for model calibration, execution quality, and risk-adjusted performance.
- Analyze post-event and post-trade results to improve pricing, automation, exposure management, and business performance.
- Contribute to production code, trading tools, operational controls, and feature validation.
Requirements
- Experience in data science, analytics, quantitative research, or engineering.
- Bachelor’s degree in a highly numerate field such as mathematics, statistics, economics, computer science, or engineering, or equivalent relevant experience.
- Strong proficiency in Python or R and SQL.
- Experience building and deploying models for production products and tools.
- Comfort with command-line tools, GitHub, object-oriented design, and coding.
- Flexible availability for occasional evenings, weekends, and holidays based on the sporting calendar.
Nice to have
- Experience with simulation or backtesting.
- Interest or experience in sports betting, prediction markets, daily fantasy sports, or fantasy sports.
- Familiarity with pricing dynamics, market behavior, or real-time decision environments.
Culture & Benefits
- Medical, vision, dental, life, and disability insurance.
- 401(k) matching of up to 5%, paid personal time off, paid sick leave, and 14 paid company holidays.
- Short-term and long-term incentive opportunities, including annual bonuses and stock program participation.
- Family planning, mental health, fitness, commuter, and pet insurance benefits.
- Equal opportunity workplace with reasonable accommodation support during hiring and onboarding.
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