Job description

Firm Description Quantinno Capital Management, established in 2018 by alumni from some of the world’s largest investment firms, is an asset manager specializing in innovative tax-aware investment strategies. Leveraging expertise in quantitative investment approaches, Quantinno offers tailored solutions for taxable investors. Quantinno currently manages over $40 billion in assets on behalf of some of the largest Family Offices, Multi-Family Offices, and Registered Investment Advisors (RIAs) in the country. Primary Responsibilities We are seeking an exceptionally talented Quant Developer to join our engineering team. This role focuses on building the platforms and systems that support quantitative research, portfolio construction, and systematic portfolio management. You will work closely with researchers and portfolio managers to design scalable tools and infrastructure that transform investment insights into robust, production-ready workflows. • Engineer cloud-based data and services infrastructure to support research and portfolio management workflows at scale • Develop high-performance backtesting and historical simulation engines to validate new investment strategies • Design intuitive research APIs and tools to provide efficient access to data, models, and computational resources • Collaborate with quantitative researchers to introduce new datasets for signal research and integrate them into production systems and models • Productionize new models and improvements to existing models, taking ownership for their ongoing support and monitoring to ensure robustness and accuracy • Design and deploy infrastructure to monitor data quality across research and portfolio management systems • Build and improve systems that support automated, customized, and transparent portfolio management • Design and enhance portfolio construction, optimization, rebalancing, and order generation systems with a focus on reliability and accuracy Qualifications • Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or a related field • 1+ years of experience as a developer, with expertise in Python and a quantitative stack (NumPy, Pandas, etc.) • Solid grasp of large-scale application design, distributed computing, containers, and cloud infrastructure • Proficiency with Git and modern software development practices, automated testing and CI/CD workflows • Familiarity with AI/agentic frameworks, particularly as it relates to engineering productivity and capability • Strong analytical and problem-solving skills, with an aptitude for mathematics, statistics, and finance • Excellent communication skills and the ability to work collaboratively across teams and functions • Understanding of or experience in quantitative finance is a strong plus

Requirements

Must-haves

Firm Description
Quantinno Capital Management, established in 2018 by alumni from some of the world’s largest investment
firms, is an asset manager specializing in innovative tax-aware investment strategies. Leveraging expertise
in quantitative investment approaches, Quantinno offers tailored solutions for taxable investors. Quantinno
currently manages over $40 billion in assets on behalf of some of the largest Family Offices, Multi-Family
Offices, and Registered Investment Advisors (RIAs) in the country.
We are seeking an exceptionally talented Quant Developer to join our engineering team. This role focuses
on building the platforms and systems that support quantitative research, portfolio construction, and
systematic portfolio management. You will work closely with researchers and portfolio managers to design
scalable tools and infrastructure that transform investment insights into robust, production-ready
Engineer cloud-based data and services infrastructure to support research and portfolio management
workflows at scale
Develop high-performance backtesting and historical simulation engines to validate new investment
Design intuitive research APIs and tools to provide efficient access to data, models, and computational
Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Physics, or a related field
1+ years of experience as a developer, with expertise in Python and a quantitative stack (NumPy,
Pandas, etc.)
Solid grasp of large-scale application design, distributed computing, containers, and cloud infrastructure
Proficiency with Git and modern software development practices, automated testing and CI/CD
Familiarity with AI/agentic frameworks, particularly as it relates to engineering productivity and
Strong analytical and problem-solving skills, with an aptitude for mathematics, statistics, and finance
Excellent communication skills and the ability to work collaboratively across teams and functions
Understanding of or experience in quantitative finance is a strong plus

Nice-to-haves

None flagged.

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pythonci/cdai

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