What are the responsibilities and job description for the Quantitative Developer position at Jobot?
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Job details:
Opportunity to join one of Chicago's premier proprietary trading and quantitative firms!
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button
and sending us your resume.
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
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role
and Jobot?
Click our Jobot logo and follow our LinkedIn page!\n
our LinkedIn page!
Job details:
Opportunity to join one of Chicago's premier proprietary trading and quantitative firms!
This Jobot Job is hosted by: Craig Rosecrans
Are you a fit? Easy Apply now by clicking the "Easy Apply" button
and sending us your resume.
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
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role
and Jobot?
Click our Jobot logo and follow our LinkedIn page!\n
Salary : $140,000 - $190,000