DraftKings Inc.-posted about 24 hours ago
Full-time • Mid Level
Boston, MA
5,001-10,000 employees

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 Lead Analyst on the Trading Analytics team, you will play a key role in understanding and optimizing how DraftKings participates across prediction-market-style exchanges. You’ll partner closely with trading, product, data science, and engineering to evaluate exchange performance, monitor liquidity, and build analytical frameworks that guide our strategy. Your work will strengthen execution quality, pricing consistency, and overall marketplace health.

  • Assess trading exchange performance by analyzing post-fill customer behavior, latency impacts, and where there might be delays or inefficiencies.
  • Build analytical frameworks that simplify exchange dynamics into clear, repeatable metrics that guide trading decisions.
  • Map our liquidity footprint across exchanges, including contract coverage, trading volumes, and performance trends.
  • Partner with sports traders and trading operations to diagnose issues, improve liquidity allocation, enhance pricing accuracy, and elevate customer experience.
  • Develop dashboards and reporting that provide real-time visibility into exchange quality and our performance across trading environments.
  • Deliver insights that inform how we allocate liquidity, structure quoting behavior, and evolve our exchange participation strategy.
  • At least 5 years of experience in analytics or data science.
  • Bachelor’s degree or equivalent in Mathematics, Statistics, Economics, Computer Science, Engineering, Business Analytics, or another relevant discipline.
  • Ability to take on complicated problems and turn them into simple, analytical frameworks.
  • High proficiency in SQL, Excel, and Tableau (or similar visualization tools).
  • Ability to thrive in a fast-paced, results-driven environment.
  • Experience within sportsbook trading, prediction markets, or financial market microstructure is a plus.
  • Experience with R, Python, or another statistical programming language is a plus.
  • Familiarity with exchange dynamics such as order books, liquidity, fills, and execution quality is a plus.
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