PolymarketVerified Source

Senior Data Scientist / Analyst, Institutional Trading

Onsite · New York, New York
Posted August 13, 2026
payroll

Overview

You will own analytics for Polymarket's institutional counterparties, including market makers, large takers, and brokerages. Your analysis drives partner reviews, fee negotiations, and risk monitoring. You will work with SQL on order-level data, collaborate with analytics engineers to build models, and sit in client meetings to explain the numbers. This role blends rigorous data work with commercial impact, shaping the institutional side of a fast-growing prediction market.

What You'll Do8

  • 1Own analytics for the largest makers, takers, and brokerages, acting as the internal source of truth on relationship performance.
  • 2Build account-level views covering volume, flow composition, spread capture, fee and rebate economics, and trends over time.
  • 3Monitor counterparty health, surfacing concentration risk, deteriorating engagement, or churn signals early.
  • 4Analyze trading behavior to determine how each participant generates profit and whether current terms remain appropriate.
  • 5Support institutional reviews and negotiations with analysis of counterparty value, requests, and acceptable concessions.
  • 6Quantify institutional flow's impact on liquidity, spreads, and retail trader experience.
  • 7Collaborate with analytics engineers to transform recurring reports into modeled datasets for efficient account reviews.
  • 8Owning documentation end-to-end, ensuring any team member can pick up your analysis without friction.

Requirements10

  • 17+ years in analytics, trading, or counterparty analysis at an exchange, venue, brokerage, or market making firm.
  • 2Expert SQL for direct analysis of order book and transaction-level data.
  • 3Deep understanding of spread capture, adverse selection, inventory risk, and liquidity provision economics.
  • 4Credibility in technical discussions with institutional quants and traders.
  • 5Commercial instinct to articulate relationship worth and leverage points.
  • 6Strong communication and discretion with sensitive counterparty information.
  • 7Comfort in a fast-moving environment with evolving business logic and pace.
  • 8Plus: experience with institutional pricing, fee tiers, or rebate design.
  • 9Plus: familiarity with on-chain data or blockchain analytics.
  • 10Plus: Python or R for advanced statistical analysis of trading behavior.

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationNew York, New York

Required Skills

sqlpythonrblockchaindata modeling
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