New Grad Full-Time Quantitative Developer

Wall Street Quants; New York (NY); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Training and mentorship from seasoned\

Job summary

Wall Street Quants is seeking a new graduate for a Quantitative Developer role in New York City. You will join a fast-moving team to design, develop, test, and maintain software tools used by traders and researchers.

The role emphasizes building data processing, simulation, and trading systems, with collaboration across researchers and engineers. The ideal candidate is a recent or upcoming graduate from any degree background with strong programming skills, a passion for financial markets, and

Qualifications

• Recent graduate or upcoming graduate from any degree program.
• Strong programming ability in at least one language.
• Excellent analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Excellent communication and teamwork.
• Interest in financial markets or data-driven trading.

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.

Skills

Programming languages

Problem solving

Learning agility

Attention to detail

Communication skills

Interest in finance

Education

Bachelor’s / Master’s / PhD or equivalent

Tools

Linux

Git

SQL

APIs

Real-time systems

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