Senior Quantitative Sports Modeler

UnderdogUnited States/RemotePricing, Risk, and Trading

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Opens the official Underdog careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Posted

17 Sept 2026

Status

Open · checked 8d ago

About this role

This remote role of Senior Quantitative Sports Modeler at Underdog invites a skilled professional to drive the quantitative engine behind the company's prediction market trading operation. Ideal for candidates with extensive sports modeling expertise, this position operates within a fast-paced and collaborative virtual-first environment.

Role Overview

As a senior individual contributor reporting to the Senior Manager, Pricing, the Senior Quantitative Sports Modeler will own high-impact models from initial research through production monitoring. The professional will help set the technical standard for the wider modeling group while ensuring that work is rigorously tested in live markets, evaluated through calibration, and measured by trading performance.

Key Responsibilities

Design, build, and validate simulation-based predictive and pricing models across multiple sports, market types, and time horizons.

Apply Bayesian inference to synthesize internal model estimates, sportsbook prices, exchange market information, and trader observations into fair value.

Use AI-assisted workflows throughout research, prototyping, coding, testing, debugging, review, and documentation to increase development velocity.

Build a tight feedback loop with traders to translate real-time market observations and pricing issues into testable hypotheses and model improvements.

Raise the technical bar through model and code reviews, clear design documentation, thoughtful challenge, and hands-on support for other team members.

Requirements

At least 5 years of experience in sports modeling, quantitative research, predictive analytics, or a closely related field, featuring substantial ownership of production models.

Demonstrated record of building simulation-based sports models that produce calibrated probabilities evaluated against real markets or real-money decisions.

Deep knowledge of probability, statistical modeling, Bayesian inference, simulation, backtesting, calibration, and model validation.

Strong understanding of both sportsbook and exchange-market dynamics with the judgment to combine market information with independent model estimates.

High proficiency in Python and practical experience using Git and GitHub in a collaborative production-code environment.

An AI-forward mindset with advanced, demonstrable use of AI coding and research tools.

Willingness to work occasional evenings and weekends during major sports periods and time-sensitive launches, particularly around the NFL season.

Nice to Have

Direct experience building models for a market maker, proprietary trading firm, prediction-market business, exchange, or sportsbook trading desk.

Experience trading on exchanges or building pricing, liquidity, or automated market-making solutions for exchange venues.

Experience with in-play or other low-latency models where real-time state, reliability, and execution speed matter.

Experience designing modeling infrastructure, cloud-compute solutions, backtesting systems, production monitoring, or GitHub-based CI/CD pipelines.

Experience optimizing computationally intensive code or building performance-critical components in C++ or Rust.

A genuine passion for sports and curiosity about how information moves prices.

Skills and Tools

Python

Rust

C++

LLM

Bayesian Inference

Git and GitHub

Simulation-Based Modeling

Salary and Benefits

Target starting base salary range between $135,000 and $185,000, plus target equity.

Unlimited PTO for full-time employees, with flexibility outside of the period leading into the NFL season.

16 weeks of fully paid parental leave.

Home office stipend.

401(k) with up to 5% employer match.

Company-paid health, dental, vision plan options for employees and dependents, FSA, and more.

Access to Claude and ChatGPT enterprise accounts.

About the Company

Founded in 2020, Underdog builds products across fantasy sports, sports betting, and prediction markets united in a single app. Recognized as one of the fastest-growing sports companies, Underdog values individuals who care deeply, push boundaries, and perform exceptionally. The company is remote-first by design while encouraging regular in-person gatherings for teams to build and iterate quickly.

How to Apply

Interested candidates should visit the official Underdog careers page to submit an application for this remote position.

Skills and tech stack

Python Rust C++LLM

Questions candidates ask

What is the salary range for the Senior Quantitative Sports Modeler position?

The target starting base salary range is between $135,000 and $185,000, plus target equity.

Is this a remote position?

Yes, Underdog is remote-first by design, though the team gathers in person a few times per year for offsites, trainings, and hackathons.

How many years of experience are required for this role?

Candidates must have at least 5 years of experience in sports modeling, quantitative research, predictive analytics, or a closely related field.

What programming languages and tools are expected?

High proficiency in Python is required, along with experience using Git and GitHub. Experience with C++, Rust, and LLM or AI coding tools is also noted in the job details.

What benefits are offered to employees?

Benefits include unlimited PTO, 16 weeks of fully paid parental leave, a home office stipend, a 401(k) with up to 5% employer match, and company-paid health, dental, and vision plan options.

Ready to apply?

The application is on the official Underdog careers page.

Apply on company site