Senior Lead Trading Strategist

DraftKings Inc.

2d

About The Position

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.

Requirements

• At least 7 years of experience in machine learning, quantitative modeling, or algorithmic strategy development.
• 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.
• Experience working with automated trading systems, prediction markets, sports betting, or crypto and decentralized finance environments.
• Strong leadership and communication skills, with a demonstrated ability to lead complex technical initiatives and influence cross-functional teams.

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed