Senior Data Scientist / Analyst, Institutional
Own analytics for major institutional trading counterparties, analyzing order-level behavior, relationship economics, health, and platform-wide liquidity effects. The role requires 7+ years of relevant experience, expert SQL, strong market-structure knowledge, and the ability to support commercial partner reviews.
About the job
Responsibilities
- Own analytics for major market makers, large takers, and brokerages, serving as the internal source of truth for relationship performance.
- Build account-level views covering volume, flow composition, spread capture, fee and rebate economics, and trends over time.
- Monitor counterparty health and identify concentration risk, declining engagement, and churn signals.
- Analyze trading behavior, including how participants make money on the platform and whether relationship terms remain appropriate.
- Support institutional reviews and negotiations with analysis of counterparty value, requests, and recommended concessions.
- Quantify the impact of institutional flow on liquidity, spreads, and retail trader experience.
- Partner with analytics engineers to turn recurring reporting into modeled datasets.
- Maintain thorough documentation so analyses can be reused by the team.
Requirements
- 7+ years of experience in analytics, trading, or counterparty analysis, ideally at an exchange, trading venue, brokerage, or market-making firm.
- Expert SQL skills and the ability to work independently with order-book and transaction-level data.
- Deep understanding of spread capture, adverse selection, inventory risk, and liquidity-provision economics.
- Ability to communicate credibly with sophisticated counterparties and quantitative teams.
- Strong commercial judgment regarding relationship value and leverage.
- Strong communication, discretion, and comfort handling sensitive counterparty information.
- Ability to operate effectively in a fast-moving environment with frequently changing business logic.
Nice-to-Haves
- Experience with institutional pricing, fee tiers, or rebate-program design.
- Familiarity with on-chain data or blockchain analytics.
- Python or R experience for statistical analysis of trading behavior.
- Experience in fintech, crypto, prediction markets, or other data-intensive financial products.
Compensation and Benefits
- Competitive salary and equity.
- Unlimited PTO.
- Full health, vision, and dental coverage.
- 401(k) match.
- Hardware setup including a new MacBook Pro, large display, and accessories.
Skills
SQL, Python, R, Order Book Analysis, Trading Analytics, Spread Capture, Adverse Selection, Inventory Risk, Liquidity Provision, Blockchain Analytics
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