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Quantitative Developer

  • Quantitative Developer job type Posted on: Nov 03, 2026
  • Quantitative Developer experience level Global Hedge Fund
  • Quantitative Developer employment type New York, New York
  • Quantitative Developer employment type Onsite
  • Quantitative Developer 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 :

(We do not work with third party recruiters)We are seeking a talented and driven Quantitative Developer to join our team, working directly with Equity Portfolio Managers. This role will focus on developing and optimizing quantitative models, data pipelines and Agentic AI workflows to assist portfolio managers in making informed investment decisions.The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment.ResponsibilitiesCollaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio analysis, risk management, and trading strategies.Design, implement, and optimize quantitative models to analyze large datasets and derive actionable insights for equity portfolios.Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability.Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance.Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling.Ensure seamless integration of various data sources, both internal and external, into the development environment.Troubleshoot and resolve technical issues as they arise, ensuring that code is clean, well-documented, and performs efficiently.Contribute to continuous improvement and innovation in quantitative models and portfolio management systems.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field.Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis.Solid understanding of financial markets, particularly equities, and portfolio management concepts.Knowledge of databases (SQL, NoSQL) and experience in working with large datasets.Experience in developing, optimizing, and deploying quantitative models in a production environment.Strong problem-solving skills and ability to think critically in a fast-paced, team-oriented setting.

Jobcon Logo Position Details

Posted:

Nov 03, 2026

Reference Number:

10440_4476449275

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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(We do not work with third party recruiters)We are seeking a talented and driven Quantitative Developer to join our team, working directly with Equity Portfolio Managers. This role will focus on developing and optimizing quantitative models, data pipelines and Agentic AI workflows to assist portfolio managers in making informed investment decisions.The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment.ResponsibilitiesCollaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio analysis, risk management, and trading strategies.Design, implement, and optimize quantitative models to analyze large datasets and derive actionable insights for equity portfolios.Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability.Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance.Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling.Ensure seamless integration of various data sources, both internal and external, into the development environment.Troubleshoot and resolve technical issues as they arise, ensuring that code is clean, well-documented, and performs efficiently.Contribute to continuous improvement and innovation in quantitative models and portfolio management systems.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field.Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis.Solid understanding of financial markets, particularly equities, and portfolio management concepts.Knowledge of databases (SQL, NoSQL) and experience in working with large datasets.Experience in developing, optimizing, and deploying quantitative models in a production environment.Strong problem-solving skills and ability to think critically in a fast-paced, team-oriented setting.

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