Swish Analytics

We are a startup building predictive sports analytics data products for betting and fantasy. We provide odds origination, risk management, and trading software for major U.S. sports leagues like the NFL, NBA, MLB, NHL, and NCAA, as well as the WTA.

Our machine-learning platform delivers projections, lines, and prices across various markets, including Player Props, Match & Team Markets, Bet Builder & SGP, In-Play Props, FAST Micro Markets, and Pre-Built Parlays. Our “Predictive Engine” automates oddsmaking with a focus on accuracy and scalability.

We use Rust, Python, SQL, Airflow, and Kubernetes for our data pipelines and systems. We apply machine learning, statistical modeling, and large-scale data processing to create scalable betting products and manage high-frequency tick data, order book snapshots, and market microstructure signals. We also use Monte Carlo simulations and the Superset BI platform for reporting and analytics.

We believe that oddsmaking is a challenge best solved through engineering, mathematics, and deep sports betting expertise, not just intuition. This belief drives how we build our predictive sports analytics data products.

We value excellent engineering, resilience, and the ability to navigate new challenges across different industries and clients.

We are a growth-focused startup with a fast-paced, collaborative, and technically rigorous environment. We have a rapidly growing, globally distributed team.

Our work is remote and requires individuals to operate autonomously, though we highly value teamwork and strong cross-functional communication.

We offer health insurance, dental insurance, and a 401k plan.