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.
Experience within sportsbook trading, prediction markets, or financial market microstructure is a plus.
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).
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.
Ability to thrive in a fast-paced, results-driven environment.

Lead Analyst, Trading Analytics

Key skills