Senior Data Scientist / Analyst, Institutional

Polymarket

$150K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in analytics, trading, or counterparty analysis, preferably in the finance sector
  • Expert in SQL for direct data manipulation
  • In-depth understanding of trading economics and profit mechanisms
  • Ability to engage in technical conversations with quantitative counterparts
  • Strong commercial instincts in evaluating business relationships
  • Excellent communication skills with respect to sensitive information
  • Agility in adapting to a rapidly evolving work environment
  • (Plus) Experience in institutional pricing strategy
  • (Plus) Familiarity with on-chain and blockchain analytics
  • (Plus) Proficiency in Python or R for advanced data analysis
  • (Plus) Background in fintech, crypto, or data-intensive financial products

Responsibilities

  • Own and manage analytics for institutional relationships with market makers and brokers
  • Develop detailed account views for major counterparties, tracking performance metrics
  • Monitor and report on counterparty health and potential engagement risks
  • Analyze trading behaviors to assess profitability and relationship terms
  • Support negotiations with data-backed insights on counterparty value
  • Quantify the influence of institutional flow on market dynamics and retail experience
  • Collaborate with analytics engineers to create streamlined reporting systems
  • Document analytical work clearly for accessibility and team use

Benefits

  • Competitive salary & equity
  • Unlimited Paid Time Off (PTO)
  • Comprehensive Health, Vision, & Dental insurance
  • 401k matching
  • Top-tier hardware setup including a MacBook Pro and accessories
Full Job Description
About the Role

Polymarket is looking for a Senior Data Scientist / Analyst to own the analytics behind our institutional relationships - the market makers, large takers, and brokerages that account for a disproportionate share of platform volume. You'll be the person who understands each of these counterparties in depth: how they trade, how they make money with us, and whether the relationship is getting healthier or weaker.

This is a role for someone comfortable on both sides of the conversation - rigorous enough to analyze flow at the order level, and commercial enough to sit in a partner review and explain what the numbers mean for the terms of the relationship. And you'll do it in a fast-moving environment where the institutional side of the business is being built as you go.

What You'll Do
  • Own the analytics on our largest makers, takers, and brokerages, and be the internal source of truth on how each relationship is performing
  • Build the account-level view of every major counterparty - volume, flow composition, spread capture, fee and rebate economics, and how each has trended over time
  • Monitor counterparty health and surface concentration risk, deteriorating engagement, or churn signals early enough for the team to act on them
  • Analyze trading behavior to understand how each participant actually makes money on our platform, and whether the terms we have given them still make sense
  • Support the institutional team through reviews and negotiations with the analysis behind them - what a counterparty is worth, what they are asking for, and what we should be willing to give
  • Quantify how institutional flow affects the broader market, including liquidity, spreads, and the experience of retail traders on the other side of it
  • Work with analytics engineers to turn recurring relationship reporting into modeled datasets, so account reviews do not start from scratch every quarter
  • Own documentation end-to-end - writing clearly and thoroughly enough that anyone on the team can pick up your analysis without friction


What We're Looking For
  • 7+ years in analytics, trading, or counterparty analysis, ideally at an exchange, trading venue, brokerage, or market making firm
  • Expert SQL - you can work directly against order book and transaction-level data without supervision
  • Deep understanding of how professional participants make money - spread capture, adverse selection, inventory risk, and the economics of providing liquidity
  • Credibility in a technical conversation with a sophisticated counterparty - you can hold your own with a firm's own quants
  • Commercial instinct - you can look at a relationship and articulate what it is worth to us and where the leverage sits
  • Strong communication and discretion, including with sensitive counterparty information and in front of external partners
  • Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace
  • (Plus) Experience with institutional pricing, fee tiers, or rebate program design
  • (Plus) Familiarity with on-chain data or blockchain analytics
  • (Plus) Python or R for deeper statistical work on trading behavior
  • (Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products


Benefits
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories

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