
1001 - 5000 employees
Founded 2012
🎮 Gaming
âš˝ Sports
👥 B2C
Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
đź•’ June 29
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1001 - 5000 employees
Founded 2012
🎮 Gaming
âš˝ Sports
👥 B2C
Gaming • Sports • B2C
DraftKings Inc. is a global company known for providing innovative products and experiences primarily in the sports betting and fantasy sports sectors. The company boasts a strong presence across multiple countries, aiming to deliver exceptional customer moments and overcoming challenges through teamwork and persistence. At DraftKings, innovation in engineering, analytics, and product development is key, with a focus on creating unforgettable customer experiences in sportsbook and casino operations. The company emphasizes a dynamic work culture, inclusion, equity, and global collaboration within its diverse teams.
• Lead the design, implementation, and continuous refinement of market-making and trading strategies informed by market microstructure, participant behavior, and risk constraints. • Translate quantitative research and hypotheses into scalable, production-grade trading systems in close partnership with Engineers, Data Scientists, and fellow Strategists. • Architect and evolve backtesting frameworks that accurately model execution, liquidity dynamics, and behavioral responses. • Develop and oversee real-time decision engines that price markets, optimize inventory, and react to high-frequency event streams. • Set technical direction for trading systems, ensuring scalability, performance, and reliability in production environments. • Contribute to monitoring, alerting, and observability standards for live systems, enabling rapid diagnosis and resolution of anomalies. • Communicate strategy vision, system behavior, and business impact clearly to technical and non-technical stakeholders, influencing decision-making across teams.
• At least 7 years of experience in machine learning, quantitative modeling, or algorithmic strategy development. • Experience working with automated trading systems, prediction markets, sports betting, or crypto and decentralized finance environments. • Strong proficiency in Python (including NumPy, Pandas, and PyTorch) and experience with C++, C#, Java, or Rust for performance-critical systems. • Deep expertise in market making, market microstructure, liquidity modeling, and risk-aware optimization. • Strong foundation in statistical and probabilistic modeling, including time-series analysis and signal evaluation. • Strong leadership and communication skills, with a demonstrated ability to lead complex technical initiatives and influence cross-functional teams.
• Bonuses • Equity • Benefits as applicable
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