About this opportunity
Wall Street Quants lists this New Grad Full-Time Quantitative Developer opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About The Role
An NYC based proprietary trading firm is seeking a motivated and intellectually curious New Grad Quantitative Developer to join the team full time. This role is designed for recent graduates from all degree backgrounds who have strong programming skills, analytical ability, and an interest in building technology for financial markets.
Requirements Responsibilities
Design, develop, test, and maintain software tools used by traders, researchers, and engineers
Build systems for market data processing, strategy research, simulation, backtesting, and trade execution
Work with large datasets to support quantitative analysis and trading decisions
Collaborate with quantitative researchers and traders to translate ideas into reliable production systems
Improve the performance, scalability, reliability, and usability of internal platforms
Develop dashboards, analytics tools, APIs, and automation workflows
Debug and optimize code used in research and trading environments
Learn about financial markets, trading workflows, market data, and risk management
Contribute to code reviews, technical design discussions, and engineering best practices
Qualifications
Recent graduate or upcoming graduate from a Bachelor’s, Master’s, PhD, or equivalent program
Open to candidates from all degree disciplines
Strong programming ability in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript
Solid problem-solving, analytical, and logical reasoning skills
Ability to learn new technologies, tools, and financial concepts quickly
Strong attention to detail and commitment to writing clean, reliable, and maintainable code
Effective communication skills and the ability to work well in a collaborative team environment
Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making
Preferred Qualifications
Experience with algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure
Coursework, projects, internships, or independent work involving software engineering, data science, machine learning, statistics, simulations, or quantitative analysis
Familiarity with Linux, Git, SQL, APIs, or real-time systems
Experience working with large datasets, time-series data, or performance-sensitive applications
Participation in programming competitions, hackathons, open-source projects, research projects, or technical clubs
Exposure to financial instruments, trading systems, market data, or risk analytics is helpful but not required
Benefits What We Offer
Full-time role designed for new graduates
Training and mentorship from experienced engineers, traders, and quantitative researchers
Opportunity to work on impactful systems used in real-time trading and research
Exposure to financial markets, quantitative strategy development, and trading infrastructure
A collaborative, intellectually rigorous environment where strong ideas are valued
Early ownership of meaningful technical projects
Competitive compensation and benefits
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.