Join Kalshi as a Quant Researcher to build and own quantitative models for the fastest-growing financial market in America.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 21 hours ago
Skills & Technologies
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
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
Quick facts
From the original posting
Our vision: well… build the largest financial market on the planet.
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.
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
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
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.