Quantitative Developer Intern (Fintech)

TL;DR

Quantitative Developer Intern (Fintech): Designing and optimizing high‑performance software tools and infrastructure for trading strategies and research workflows with an accent on scalability, reliability, and low‑latency execution. Focus on building data processing pipelines, backtesting systems, and translating quantitative models into production‑ready tools.

Location: On-site in New York, NY

Company

An NYC based hedge fund specializing in quantitative trading and high-performance financial systems.

What you will do

• Design, develop, and maintain software tools used by traders, researchers, and engineers.
• Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
• Assist in developing trading infrastructure, market data pipelines, and execution tools.
• Optimize code for speed, reliability, scalability, and maintainability.
• Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
• Debug, test, and document software systems used in live or simulated trading environments.

Requirements

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
• Strong programming skills in Python, C++, Java, C#, or Rust.
• Solid understanding of data structures, algorithms, and software design.
• Familiarity with Linux, version control, and command-line development tools.
• Location: Must be based in or able to work on-site in New York, NY.

Nice to have

• Experience with high-performance computing, low-latency systems, or distributed systems.
• Familiarity with SQL, pandas, NumPy, or other data processing tools.
• Experience building APIs, internal tools, dashboards, or research platforms.
• Knowledge of networking, concurrency, or memory management.

Culture & Benefits

• Hands-on experience building software for quantitative trading and research.
• Exposure to real-world trading infrastructure, market data systems, and analytical tools.
• Mentorship from experienced quantitative developers, researchers, and traders.
• Opportunity to work on projects with direct impact on trading and research workflows.
• Collaborative technical environment focused on developing performance-sensitive systems.