

Python Quant Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Quant Developer in New York City, NY, on a 12+ month contract, hybrid schedule. Requires 6+ years of Python experience, quantitative development skills, and financial industry knowledge. Proficiency in TypeScript is also essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 4, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Python #Compliance #Linux #Libraries #Web Development #TypeScript #Programming
Role description
Grow your career as a Python Quant Developer with an innovative global bank in New York City, NY. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will provide technical and design support for Quants and supporting clients of the library in response to increased demands from regulators with respect to model testing. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 12+ Months
Required Skills & Experience
β’ Bachelorβs/University degree or equivalent experience.
β’ 6+ years of experience with large Python projects and in-depth knowledge of Python, particularly in quantitative contexts.
β’ Must be very proficient programming in Python.
β’ Prior experience as a quantitative developer with strong problem-solving skills.
β’ Excellent communication required to interface with quants (daily), IT and risk teams, and occasionally traders.
β’ Must be able to explain and advocate software engineering best practices to less technical colleagues.
β’ Demonstrated ability to take ownership of complex, unstructured problems and devise solutions.
β’ Able to handle difficult programming or even system design questions.
β’ Ability to extend and maintain an existing infrastructure, not just build from scratch.
β’ Skilled in TypeScript, Product knowledge, Investments and Quantitative Methods.
Desired Skills & Experience
β’ Knowledge of Python packaging/ dependency management.
β’ Web development, type strictness, and crypto backgrounds.
β’ Financial industry/bank experience is helpful.
β’ Front office experience.
What You Will Be Doing
β’ Collaborate closely with Quantitative Analysts, Traders, Structurers, and technology professionals.
β’ Will assist quants to optimize their code and integrating various models into a unified library, not building new analytical models independently.
β’ Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure.
β’ Will be focused on the Quant Development (QD) side of the In Business Risk Quant team. Many of the tools and framework development will be shared by other asset classes so a collaborative focus is essential.
β’ Focus on the Quant Development (QD) side of the In Business Risk Quant team including tools, library architecture, testing and releases as well as development work.
β’ Develop analytics libraries used for pricing and risk-management on Windows and Linux.
β’ Perform testing and reporting framework development including tools.
β’ Perform hands-on library re-architecting including analytical code.
β’ Perform hands-on library extensions and enhancements as dictated by the trading desks.
β’ Provide technical support.
Posted By: Melissa Klein
Grow your career as a Python Quant Developer with an innovative global bank in New York City, NY. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will provide technical and design support for Quants and supporting clients of the library in response to increased demands from regulators with respect to model testing. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 12+ Months
Required Skills & Experience
β’ Bachelorβs/University degree or equivalent experience.
β’ 6+ years of experience with large Python projects and in-depth knowledge of Python, particularly in quantitative contexts.
β’ Must be very proficient programming in Python.
β’ Prior experience as a quantitative developer with strong problem-solving skills.
β’ Excellent communication required to interface with quants (daily), IT and risk teams, and occasionally traders.
β’ Must be able to explain and advocate software engineering best practices to less technical colleagues.
β’ Demonstrated ability to take ownership of complex, unstructured problems and devise solutions.
β’ Able to handle difficult programming or even system design questions.
β’ Ability to extend and maintain an existing infrastructure, not just build from scratch.
β’ Skilled in TypeScript, Product knowledge, Investments and Quantitative Methods.
Desired Skills & Experience
β’ Knowledge of Python packaging/ dependency management.
β’ Web development, type strictness, and crypto backgrounds.
β’ Financial industry/bank experience is helpful.
β’ Front office experience.
What You Will Be Doing
β’ Collaborate closely with Quantitative Analysts, Traders, Structurers, and technology professionals.
β’ Will assist quants to optimize their code and integrating various models into a unified library, not building new analytical models independently.
β’ Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure.
β’ Will be focused on the Quant Development (QD) side of the In Business Risk Quant team. Many of the tools and framework development will be shared by other asset classes so a collaborative focus is essential.
β’ Focus on the Quant Development (QD) side of the In Business Risk Quant team including tools, library architecture, testing and releases as well as development work.
β’ Develop analytics libraries used for pricing and risk-management on Windows and Linux.
β’ Perform testing and reporting framework development including tools.
β’ Perform hands-on library re-architecting including analytical code.
β’ Perform hands-on library extensions and enhancements as dictated by the trading desks.
β’ Provide technical support.
Posted By: Melissa Klein