Back to jobs

Senior Data Scientist / Analyst, Institutional

New York, NY, United States

Pay
$200,000–300,000/year · BasePlus equity — pay source
Pay Transparency Base salary range: $200,000 to $300,000 annually, plus equity and benefits. This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.
Read the full posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Polymarket

What you’ll work on

Full posting

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.

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.

  • 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

From the employer’s posting
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
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
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

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
- (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
- 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

Benefits in the posting

Full benefits wording
  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Pay Transparency
  • This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.

From the employer’s posting.

About Polymarket

Polymarket is the world's fastest growing prediction market.

In the employer’s words · Read in context

Job description

View original posting ↗

About Polymarket

Polymarket is the world's fastest growing prediction market. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.

We're growing fast, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.

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

Pay Transparency

Base salary range: $200,000 to $300,000 annually, plus equity and benefits.

This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Pay Transparency Base salary range: $200,000 to $300,000 annually, plus equity and benefits. This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.
Location & working pattern

New York, NY, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Aug 13, 2026
Recorded sightings
91
Last seen by us
Oct 8, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.