New Grad Full-Time Quantitative Developer

About the Role

A proprietary trading firm in New York City is looking for a sharp, curious, and driven new graduate Quantitative Developer to join its team on a full-time basis. The position is open to recent graduates from any academic background, provided they have strong coding skills, good analytical thinking, and a genuine interest in building technology for financial markets.

In this role, you will sit at the crossroads of software engineering, quantitative research, and trading. Your work will help shape the tools, systems, and infrastructure that power data analysis, trading strategies, risk controls, and fast decision-making.

This opportunity is well-suited to someone who likes tackling difficult problems, building dependable software, learning quickly, and contributing in a fast-moving, team-oriented setting.

Responsibilities

• Build, improve, test, and support internal software tools used by traders, researchers, and engineers.
• Create systems for handling market data, research workflows, simulations, backtesting, and trade execution.
• Work with large volumes of data to support quantitative analysis and trading decisions.
• Partner with quantitative researchers and traders to turn concepts into dependable production systems.
• Enhance the speed, stability, scalability, and ease of use of internal platforms.
• Develop dashboards, analytical tools, APIs, and automation processes.
• Troubleshoot and optimize code used in research and trading environments.
• Build knowledge of financial markets, trading operations, market data, and risk management.
• Take part in code reviews, technical discussions, and engineering best practices.

Requirements

• Recent graduate or soon-to-be graduate from a Bachelor's, Master's, PhD, or similar program.
• Applicants from all degree backgrounds are welcome.
• Strong programming skills in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript.
• Good problem-solving ability, along with strong analytical and logical reasoning skills.
• Comfort with learning new tools, technologies, and financial ideas quickly.
• Careful attention to detail and the ability to produce clean, reliable, maintainable code.
• Clear communication skills and the ability to work effectively in a collaborative team.
• Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making.
• Helpful but not mandatory: exposure to algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure.
• Helpful but not mandatory: academic work, projects, internships, or independent experience in software engineering, data science, machine learning, statistics, simulation, or quantitative analysis.
• Helpful but not mandatory: familiarity with Linux, Git, SQL, APIs, or real-time systems.
• Helpful but not mandatory: experience with large datasets, time-series data, or performance-sensitive applications.
• Helpful but not mandatory: participation in coding contests, hackathons, open-source work, research projects, or technical clubs.
• Helpful but not required: exposure to financial instruments, trading systems, market data, or risk analytics.

Perks and Benefits

• Structured full-time opportunity built specifically for new graduates.
• Training and mentorship from experienced engineers, traders, and quantitative researchers.
• Chance to contribute to high-impact systems used in live trading and research.
• Exposure to financial markets, quantitative strategy work, and trading infrastructure.
• Collaborative environment that values strong ideas and rigorous thinking.
• Early responsibility on meaningful technical assignments.
• Competitive pay and employee benefits.

Eligibility

Open to recent graduates or upcoming graduates from any academic discipline who have strong programming ability, analytical strength, and an interest in financial technology and trading systems.

Additional Information

This position is based in New York, NY and is intended for on-site work. No internship duration is specified. No start date, application deadline, or vacancy count was provided.