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Quant Researcher

Join Kalshi as a Quant Researcher to build and own quantitative models for the fastest-growing financial market in America.

Location
New York Office
Compensation
$150k–$250k/yr
Level
mid
Type
full time

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 21 hours ago

Apply at Kalshi → Save job Scanned from kalshi.com

Skills & Technologies

Requirements

Experience
2+ years
Education
Bachelor's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

Equity/Stock Options

Joblaze summary

The Quant Researcher at Kalshi is responsible for developing and implementing quantitative models and indices that drive the company's innovative prediction markets. This role requires a strong foundation in mathematics, statistics, and quantitative finance, along with proficiency in Python and machine learning techniques. Ideal candidates will have at least two years of relevant experience and a proven ability to tackle complex problems independently. Kalshi's dynamic environment offers the opportunity to work closely with cross-functional teams in a fast-growing financial market.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Kalshi's careers page October 29, 2026.
  • Salary band is below the typical range for Data Science roles (median ~$179,500).
  • Starts above 65% of 26 comparable mid data science roles in United States that list Python we track (median $134,855 across 17 companies). See Python salary trends
  • Python appears in 69.8% of 63 comparable mid data science roles in United States; Statistics appears in 6.3% of 63 comparable mid data science roles in United States.

Quick facts

What's the salary range?
Kalshi lists $150,000–$250,000 for this role.
How much experience is required?
At least 2 years of relevant experience for this Quant Researcher role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Machine Learning, Python, Statistics.
What seniority level is this role?
Kalshi targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Quant Researcher role at Kalshi.

From the original posting

  • Our vision: well… build the largest financial market on the planet.

Role Roadmap

Kalshi is the first CFTC-regulated prediction market exchange and the fastest-growing company in finance. We recently became the first US exchange to offer perpetuals in a regulated manner and launched KPOW, the first political index of its kind. We're hiring a Quant Researcher who will help build what comes next: new indices, new models, and quant problems across the exchange as the business scales. There's no playbook here. You'll own problems end to end, ship models into production, and work directly with engineering, product, and trading.

What You'll Do

  • Build and own quantitative models that go into production, not into decks

  • Develop new indices and research problems across the exchange

  • Work directly with engineering, product, and trading on problems that don't have established solutions

  • Ramp fast on prediction markets and find the edges that others haven't seen yet

What You Bring

  • Very sharp, independent, and practical: you figure things out without needing a roadmap

  • Strong math, stats, and quant finance background

  • Comfortable with derivatives; familiarity with risk and VaR preferred

  • Hands-on with Python, statistics, and ML models

  • Strong quantitative degree from a leading university

  • 2+ years of experience

NYC Pay Transparency Disclosure

Salary Range: $150,000 to $250,000 annually plus equity and benefits. This salary range is based on the current available market data, and represents the expected salary range for this role. Kalshi has minimal hierarchy and few titles, but has broad ranges of experience represented within roles. Should you have compensation expectations that exceed these bands, we'd love to hear from you and would welcome you to reach out to further discuss.

Standard company text repeated across Kalshi's postings is omitted here.

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