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Quantitative Developer

  • Job type Posted on: Jul 21, 2026
  • Experience level Bowden Brown
  • Employment type New York, New York
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Quantitative Developer

Job Type :

Full-time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Our client is seeking a highly motivated Quantitative Developer to join a systematic investment team focused on equities and equity derivatives. This role sits at the intersection of quantitative research and production trading, offering direct impact on live portfolios and research outcomes within a fast-paced, intellectually rigorous environment. The Role As a Quantitative Developer, you will design, build, and maintain core components of a systematic trading platform. You will work closely with researchers and portfolio managers to ensure that research ideas transition seamlessly into robust, production‑ready trading systems. Key Responsibilities Design and implement software components supporting both live trading and high‑fidelity simulation of equities derivatives strategies Enhance the automation, scalability, and resilience of the research stack, including alpha generation, risk modeling, and backtesting frameworks Own the ongoing development and maintenance of the trading platform, with a strong focus on reliability, performance, security, and operational stability Proactively identify architectural or operational weaknesses in the platform and deliver effective, well-engineered solutions Build and maintain robust data validation, storage, and quality‑control pipelines for large-scale financial datasets Diagnose and resolve system issues, manage production incidents, and oversee the controlled release of fixes and feature enhancements Requirements Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or another STEM discipline Strong programming capability in Python, with an emphasis on writing clean, reliable, and maintainable code Experience working with databases and large, complex datasets Clear and effective communication skills, with the ability to collaborate across technical and non-technical stakeholders Demonstrated ownership mindset, comfortable working independently as well as within a small, high‑performing team High level of motivation and genuine enthusiasm for quantitative finance and systematic trading Exposure to equity derivatives and volatility products is advantageous but not required Uncompromising commitment to integrity and the highest ethical standards #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 21, 2026

Reference Number:

14660_73BB925A58C6E16296F7E45088EAD956

Employment:

Full-time

Salary:

Not Available

City:

New York

Job Origin:

APPCAST_CPC

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Our client is seeking a highly motivated Quantitative Developer to join a systematic investment team focused on equities and equity derivatives. This role sits at the intersection of quantitative research and production trading, offering direct impact on live portfolios and research outcomes within a fast-paced, intellectually rigorous environment. The Role As a Quantitative Developer, you will design, build, and maintain core components of a systematic trading platform. You will work closely with researchers and portfolio managers to ensure that research ideas transition seamlessly into robust, production‑ready trading systems. Key Responsibilities Design and implement software components supporting both live trading and high‑fidelity simulation of equities derivatives strategies Enhance the automation, scalability, and resilience of the research stack, including alpha generation, risk modeling, and backtesting frameworks Own the ongoing development and maintenance of the trading platform, with a strong focus on reliability, performance, security, and operational stability Proactively identify architectural or operational weaknesses in the platform and deliver effective, well-engineered solutions Build and maintain robust data validation, storage, and quality‑control pipelines for large-scale financial datasets Diagnose and resolve system issues, manage production incidents, and oversee the controlled release of fixes and feature enhancements Requirements Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or another STEM discipline Strong programming capability in Python, with an emphasis on writing clean, reliable, and maintainable code Experience working with databases and large, complex datasets Clear and effective communication skills, with the ability to collaborate across technical and non-technical stakeholders Demonstrated ownership mindset, comfortable working independently as well as within a small, high‑performing team High level of motivation and genuine enthusiasm for quantitative finance and systematic trading Exposure to equity derivatives and volatility products is advantageous but not required Uncompromising commitment to integrity and the highest ethical standards #J-18808-Ljbffr

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