Join our engineering team as a Software Engineering Intern and help build the infrastructure that powers our systematic trading platform. This is an opportunity to work on real production systems used daily by quantitative researchers and traders. You'll contribute to a variety of projects—from backtesting engines and risk management systems to internal tools and monitoring dashboards. Our tech stack is modern (Python, React, Docker, cloud infrastructure), and we emphasize clean code, automated testing, and continuous deployment. We're looking for students with strong programming fundamentals who want to gain experience building production-grade software. Whether you're interested in backend systems, web development, or DevOps, there's interesting work to do. This internship is hands-on—you'll ship code that matters.

What You'll Do

Build and enhance backtesting engines for evaluating trading strategies
Develop risk management tools including position monitoring, drawdown alerts, and exposure tracking
Create internal dashboards and visualization tools for researchers and portfolio managers
Contribute to our research platform APIs and libraries used across the team
Implement automated testing, CI/CD pipelines, and deployment workflows
Optimize performance-critical code paths in data processing and computation
Write documentation and participate in code reviews

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
Strong programming skills in Python and/or another modern language (TypeScript, Go, Rust)
Solid understanding of data structures, algorithms, and software design principles
Experience with version control (Git) and collaborative development workflows
Ability to write clean, maintainable, and well-tested code
Strong problem-solving and debugging skills
Good communication skills and ability to work in a team

Nice to Have

Experience building web applications with React, Vue, or similar frontend frameworks
Knowledge of backend frameworks (FastAPI, Flask, Django)
Familiarity with containerization (Docker) and orchestration tools
Experience with cloud platforms (AWS, GCP) and infrastructure as code
Understanding of databases (SQL and NoSQL) and data modeling
Experience with testing frameworks and CI/CD pipelines
Interest in finance or prior exposure to trading systems
Open source contributions or personal projects demonstrating software engineering skills

What You'll Learn

How to design and build production-grade financial software systems
Best practices in software engineering including testing, code review, and deployment
Working with real-time data systems and performance optimization
Collaborating with quantitative researchers and understanding their technical needs
The full lifecycle of features from design through deployment and monitoring