Jobs › Companies › Polymarket › Senior Data Scientist / Analyst, Institutional

Sobre este puesto de Senior Data Scientist / Analyst, Institutional en Polymarket

Polymarket · Presencial · New York

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.

¿Listo para postularte en Polymarket?
Postúlate en Polymarket

Cómo se compara este salario de Data Scientist

Este puesto paga $250,000/yr — por encima de el rango típico para los puestos de Data Scientist.

$128,520 la mediana de $200,000 $280,150

Rango típico $155,000–$235,000/yr, a partir de 208 ofertas comparables de Data Scientist en JobsRadar (salario anualizado en USD). Ver datos salariales de Data Scientist →

Empleos similares

Compass
Lead Data Scientist
Compass
⚡ Postúlate pronto New York City Presencial $175,500–$195,000
● Nuevo 👁 Visto ✓ Postulado hace 53m
Hudson River Trading
Data Scientist Intern - 2027
Hudson River Trading
⚡ Postúlate pronto London, United Kingdom; New Yo... Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1h
Roku
Senior Data Scientist
Roku
⚡ Postúlate pronto Santa Monica, California Presencial $169,928–$189,650
● Nuevo 👁 Visto ✓ Postulado hace 2h
Roku
Senior Data Scientist
Roku
⚡ Postúlate pronto San Jose, California Presencial $169,946–$189,234
● Nuevo 👁 Visto ✓ Postulado hace 2h
Roku
Senior Data Scientist
Roku
⚡ Postúlate pronto San Jose, California Presencial $169,900–$195,000
● Nuevo 👁 Visto ✓ Postulado hace 2h
Flex
Staff Data Scientist
Flex
⚡ Postúlate pronto New York, NY Híbrido $155,000–$187,000
● Nuevo 👁 Visto ✓ Postulado hace 2h
Flex
Sr Staff Data Scientist, New Verticals
Flex
⚡ Postúlate pronto New York, NY Híbrido $184,000–$225,000
● Nuevo 👁 Visto ✓ Postulado hace 2h
Charlie Health Engineering, Product & Design
Staff Data Scientist (Product & Ops)
Charlie Health Engineering, Product & Design
⚡ Postúlate pronto New York, NY Híbrido $190,000–$270,000
● Nuevo 👁 Visto ✓ Postulado hace 4h
Charlie Health
Staff Data Scientist (Product & Ops)
Charlie Health
⚡ Postúlate pronto New York, NY Híbrido $190,000–$270,000
● Nuevo 👁 Visto ✓ Postulado hace 4h

Regístrate para recibir sugerencias adaptadas a los empleos que abres y las búsquedas que guardas.

Más empleos en Polymarket

Ver todos los empleos en Polymarket →

Postúlate ahora
🤖

Un momento — para

JobsRadar se creó para personas reales que están pasando un mal momento en su búsqueda de empleo — no para solicitudes automatizadas. Estás haciendo clic demasiado rápido y ahora estás bloqueado temporalmente.

Vuelve más tarde. Si de verdad estás buscando empleo, cuentas con nosotros — solo compórtate como una persona.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Toma ventaja en tu búsqueda de empleo.

Únete a nuestro canal de Telegram para lo que te ayuda a conseguir el puesto — referencias salariales, el pulso semanal del mercado y avisos de nuevas funciones. Sin spam, solo señal.

Únete al canal — es gratis