Senior Lead Trading Strategist

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Lead Trading Strategist, you’ll define and evolve the systems that power real-time market-making and automated trading at scale. You’ll operate at the intersection of quantitative research and production engineering, translating complex market behavior into high-performance trading strategies. Working across teams, you’ll lead the design and development of low-latency systems that price markets, manage risk, and react to high-frequency events. Your work will shape how markets behave, driving innovation and unlocking new opportunities through data-driven strategy and technical leadership. What you’ll do as a Senior Lead Trading Strategist 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 on 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. What you’ll bring 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. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 184,000.00 USD - 230,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.