Quantitative Developer

Opportunity to join one of Chicago's premier proprietary trading and quantitative firms!

This Jobot Job is hosted by: Craig Rosecrans

Salary: $140,000 - $190,000 per year

A bit about us:

We are seeking a Quantitative Developer to help build, scale, and maintain core research and trading infrastructure in a high-performance, data-driven environment. In this highly collaborative role, you will work closely with Quantitative Researchers and Software Engineers to transform research prototypes into production-ready systems.

Why join us?

Competitive base salary plus performance-based bonus

Comprehensive medical and dental benefits

Relocation assistance (if applicable)

Generous paid time off

Ongoing training and professional development support

Daily meals, snacks, and beverages provided

Team outings and company-sponsored events

Casual, low-ego work environment

Job Details

Responsibilities span the full lifecycle of quantitative development, including optimizing large-scale data pipelines for speed and efficiency, strengthening simulation and back testing frameworks, and designing libraries that enable rapid model experimentation. You'll also contribute to modern infrastructure initiatives such as CI/CD pipelines, containerization, and system observability, while advising research and trading teams on performance trade-offs, system design, and scalability.

This role is open to experienced candidates, with Senior-level consideration for those with 3+ years of relevant experience.

What You'll Need

2+ years of full-time professional experience in quantitative research, software engineering, or a technical role, ideally within a trading, finance, or other performance-critical environment

Strong understanding of software design principles, testing strategies, and scalable system architecture

Advanced proficiency in Python, including experience with data science libraries such as pandas and NumPy

Experience with additional programming languages such as C, C++, Rust, C#, Java, R, or Julia (industry background flexible)

Solid foundation in probability, statistics, numerical methods, optimization, and mathematical modeling

Experience working with both relational and NoSQL databases for historical research and backtesting

Strong written and verbal communication skills with the ability to explain complex technical concepts clearly

Collaborative mindset with comfort operating in metrics-driven, performance-oriented environments

Practical, solution-focused approach with an emphasis on delivering production-grade systems

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