Matthew Connealy
I build at the intersection of software and markets. My interests span quantitative development and analysis, software engineering, and investment management — from research models and trading tools to full-stack applications.
I'm drawn to roles where rigorous engineering meets investing: quant dev, quant analyst, software engineering, and broader investment management such as equity research and portfolio management.
Skills
- Languages
- Python, Java, TypeScript, JavaScript, SQL
- Data & Quant
- Pandas, NumPy, SciPy, Statistics, Dash
- Web & Frameworks
- React, Next.js, Node.js, Spring Boot, Flask
- Infrastructure
- Docker, AWS, Kafka, MongoDB, Jenkins, Datadog
Projects
A full-stack app that analyzes implied volatility regimes and mean-reversion signals for equities and ETFs using options data.
React · TypeScript · FastAPI · NumPy · Pandas
A full-stack web application for video-based insights and analytics.
Next.js · Tailwind · Node.js · MongoDB
A tool for valuing equities using fundamental models and configurable assumptions.
React · Flask