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Machine-learning sports betting software for odds, risk, and trading.

Co-Founder & COO

Co-Founder

Titanium Ventures Portfolio

Bullpen Capital - Portfolio

Paul Martino refers to a 2018 Bullpen investment called Swish Analytics

It’s Opening Day In Los Angeles For The Dodgers Accelerator Program

Trading Analyst - Europe

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The Trading Analyst will manage client risk, maintain depth chart accuracy, research sports betting news, and analyze betting trends to drive profitable trading decisions.

Soccer Data Scientist

Swish Analytics is a sports analytics startup focused on predictive sports analytics data products. They are seeking a Soccer Data Scientist to develop and improve machine learning models for sports betting products, with responsibilities including model development, performance analysis, and collaboration with engineering teams.

Soccer Data Scientist - Europe

Data Scientist

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The Data Scientist will develop infrastructure, automation algorithms, and machine learning and statistical models that improve simulation outputs, model accuracy, and real-time decision-making. The role also involves analyzing streaming data, testing and deploying production-grade components, assessing model performance, and collaborating with technical and non-technical teams.

Swish Analytics is a sports analytics, betting, and fantasy startup developing predictive sports analytics data products. The Soccer Data Scientist will develop and improve machine learning and statistical models for sports betting products, create sports-specific features, evaluate model performance, and collaborate with engineering, product, and other stakeholders to deploy and improve models.

Tennis Data Scientist

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The Tennis Data Scientist will develop, improve, deploy, and evaluate machine learning and statistical models that power sports betting products, while collaborating with data engineering, product, and other stakeholders.

NFL Data Scientist

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The NFL Data Scientist will develop and improve machine learning and statistical models for sports betting products, create sports-specific features, evaluate model performance, and collaborate with engineering, product, and other stakeholders to deploy and enhance models.

Trading Analyst

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports data products. The Trading Analyst will help manage and improve real-time sports pricing and trading operations, focusing on market behavior, risk management, pricing signals, and quantitative model refinement. The role involves monitoring live markets, collaborating with trading and engineering teams, and improving pricing systems across multiple sports and market types.

Swish Analytics is a sports analytics, betting, and fantasy startup building predictive sports analytics data products. The Trading Analyst will manage client risk, maintain depth chart accuracy, research sports news, and analyze betting trends to inform profitable trading decisions.

Swish Analytics is a sports analytics startup focused on predictive sports data products. They are seeking a highly analytical Sports Trading Analyst to enhance their sports pricing and trading operations by managing real-time pricing and identifying actionable trading signals.

Senior Quantitative Researcher - Risk Modeling

Swish Analytics is a sports analytics and trading company building predictive sports analytics and exchange-based trading products. The Senior Quantitative Researcher will own research and production pipelines for systematic trading strategies, lead alpha research, analyze high-frequency market data, and collaborate with trading teams. The role also focuses on real-time risk monitoring, portfolio optimization, stress testing, and mentoring junior researchers.