Senior Data Scientist / Analyst, Institutional

Unchain Data

New York (NY)

On-site

USD 140,000 - 210,000

Full time

12 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Equity

Unlimited PTO

Health insurance

Vision insurance

Dental insurance

401k match

MacBook Pro setup

Job summary

Polymarket seeks a Senior Data Scientist / Analyst to own analytics for institutional relationships, including market makers, takers, and brokerages. You will understand how each counterparty trades, profits, and whether relationships are strengthening or weakening.

You will analyze flow at the order level and participate in partner reviews, articulating findings to guide negotiations and terms. The role is fast-moving as the institutional side grows.

Qualifications

7+ years in analytics, trading, or counterparty analysis.
Expert SQL against order book and transaction data.
Deep understanding of how professional participants monetize liquidity.
Credibility in technical discussions with sophisticated counterparties.
Commercial instinct to assess value of relationships.
Strong communication and discretion with sensitive data.
Ability to operate in fast-changing business logic contexts.
Plus: institutional pricing, rebate design, on-chain data, Python/R, fintech/crypto knowledge.

Responsibilities

Own analytics on our largest makers, takers, and brokerages; be the internal truth on performance.
Build account-level views: volume, flow, spread capture, rebates, trends.
Monitor counterparty health and surface risk or churn signals.
Analyze trading behavior to understand profitability and terms.
Support institutional reviews and negotiations with analysis of counterparty value.
Quantify how institutional flow affects liquidity and retail experience.
Collaborate with analytics engineers to create modeled datasets.
Own end-to-end documentation of analyses for team use.

Skills

7+ years in analytics

Expert SQL

Understanding of how pros make money

Commercial credibility with quants

Commercial instinct

Strong communication

Fast-moving environment adaptability

Institutional pricing / rebates (plus)

On-chain data familiarity (plus)

Python or R (plus)

Fintech/crypto/data-intensive products

Job description

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