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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
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