Quantitative Developer

External job listingat Confidential

(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...

External source - not verified9 days agoOpen until: Sep 12, 2026

Salary

Not provided

Location

New York, United States

Employment type

Full time

Workplace

Not provided

Quantitative Developer

New York, United States

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.

Responsibilities
Collaborate 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.

Qualifications
Bachelor’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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