Job description
Job Title: Quantitative Developer
Location: New York, NY (Hybrid)
Compensation: Highly Competitive + Performance Bonus + Exceptional Benefits
Our client, a globally respected investment and technology-driven firm, is seeking an exceptional Quantitative Developer to join its front-office engineering team. This is a rare opportunity to work at the intersection of advanced quantitative research, high-performance computing, and systematic trading within one of the most intellectually rigorous environments in the industry.
As a Quantitative Developer, you will collaborate directly with quantitative researchers, portfolio managers, and technologists to design and build robust, scalable systems that power sophisticated trading strategies across global markets. This role requires both strong theoretical foundations and exceptional engineering execution. You will help translate complex mathematical models into production-grade systems that operate in fast-moving, data-intensive environments.
The ideal candidate thrives in an environment that values precision, creativity, and deep problem-solving. You will be empowered to take ownership of critical systems and contribute to architectural decisions that influence firm-wide performance.
Partner closely with quantitative researchers to implement and optimize trading models and research frameworks
Design, develop, and maintain high-performance libraries and infrastructure for systematic strategies
Build scalable data pipelines and simulation frameworks for large-scale historical analysis
Improve latency, reliability, and efficiency of trading systems
Conduct rigorous code reviews and maintain high engineering standards
Contribute to research tooling that enhances experimentation speed and analytical depth
Troubleshoot production systems and ensure stability in live trading environments
Advanced degree (MS or PhD preferred) in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline
Strong programming expertise in Python and C++ (or similar performance-oriented languages)
Solid understanding of algorithms, data structures, and computational complexity
Experience working with large datasets and distributed systems
Familiarity with Linux environments and modern development tools
Strong knowledge of numerical methods and statistical modeling concepts
Demonstrated ability to write clean, maintainable, and production-quality code
Prior experience in quantitative finance, systematic trading, or financial engineering
Knowledge of derivatives, fixed income, equities, or macro strategies
Experience optimizing low-latency systems or high-performance computing workloads
Exposure to machine learning frameworks in research or production settings
This is not a traditional development position. The firm operates at the frontier of quantitative research and computational engineering. Developers are expected to think critically about models, challenge assumptions, and contribute intellectually–not simply execute specifications.
You will work alongside exceptionally talented colleagues in a collaborative, idea-driven culture that rewards rigor and innovation. The organization is known for maintaining high technical standards, fostering long-term career development, and offering exposure to complex, globally diversified strategies.
Our client offers a highly competitive base salary, discretionary performance bonuses, and comprehensive benefits. The firm is committed to attracting and retaining top-tier talent and provides an environment where performance is recognized and rewarded accordingly.
This role is ideal for candidates who:
Enjoy solving mathematically complex problems
Take pride in writing elegant, efficient code
Want direct impact on real-world financial outcomes
Thrive in intellectually demanding environments
Are motivated by long-term growth rather than short-term gains
If you are looking to join a world-class quantitative organization where engineering excellence and scientific rigor drive success, we encourage you to apply.
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