Quantitative Developer Intern

About the role

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets. As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems Responsibilities 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. Work with large datasets and help improve data quality, storage, and retrieval. 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. Contribute to automation, monitoring, and workflow improvements across the trading platform. Qualifications Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field. Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language. Solid understanding of data structures, algorithms, software design, and debugging. Familiarity with Linux, version control, and command-line development tools. Strong analytical and problem-solving abilities. Ability to work both independently and collaboratively in a fast-paced environment. Interest in financial markets, trading systems, quantitative research, or data-driven decision-making. Preferred Qualifications Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure. Familiarity with SQL, pandas, NumPy, or other data processing tools. Experience building APIs, internal tools, dashboards, or research platforms. Knowledge of networking, concurrency, memory management, or systems programming. Exposure to financial markets, market data, order execution, backtesting, or risk systems. Previous internship, research, open-source, or project experience involving production-quality software. What You'll Gain 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. The opportunity to work on projects with direct impact on trading and research workflows. Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.

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Company Intel

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