Quantitative Researcher
QuantCo · Hybrid
MeritLog read this listing from QuantCo's Lever job board and last checked it on September 11, 2026.
Source: the employer's Lever job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Not listed by source
- Location
- USA
- Occupation
- Data Scientists(O*NET 15-2051.00)
Hiring context
How this role compares at QuantCo
QuantCo has 16 live roles in MeritLog’s catalog across 3 job families, and 9 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
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Job description
As a Quantitative Researcher at QuantCo, you’ll combine mathematical and statistical rigor with economic reasoning and modern machine learning to build models and systems that power high-stakes decisions across industries. Those systems tackle some of the hardest, most consequential problems our customers face, and you’ll carry the work from initial framing and research through experimentation, model development, and continued iteration in production. We work in areas such as algorithmic pricing, claims management, underwriting, and predictive health. You’ll build on a shared technology base that improves with each new application, while choosing-and when needed, developing-methods to fit the problem. That might mean designing and analyzing randomized experiments; estimating causal effects from messy observational data; building machine learning models that produce probabilistic forecasts; or formulating and solving optimization problems that balance competing economic objectives under real-world constraints. The resulting systems run in production at organizations serving millions of people, informing and automating critical business decisions that affect billions of dollars. You’ll have unusual autonomy over how they’re designed and built. There is no single path into this role. Ourquantitative researchers come from economics, statistics, mathematics, physics, computer science, and other quantitative fields. The team brings together researchers with PhDs as well as those with master’s and bachelor’s degrees. What they share is exceptional quantitative judgment, the ability to learn quickly, and the drive to turn ideas into systems that deliver measurable real-world impact.
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