Quantitative Developer

Global Hedge Fund; New York (NY); On-site; USD 125,000 - 300,000; Full time

Job summary

A leading company in the financial sector is seeking a talented Quantitative Developer to enhance analytics for equity portfolio managers. The role involves developing models, tools, and data pipelines using Python, focusing on optimizing investment decisions. Candidates with strong analytical skills and knowledge of financial markets are encouraged to apply.

Qualifications

• Strong proficiency in Python and libraries for data manipulation and analysis.
• Solid understanding of financial markets and portfolio management concepts.
• Experience with databases (SQL, NoSQL) and large datasets.

Responsibilities

• Collaborate with portfolio managers to develop software solutions for portfolio analysis.
• Design and optimize quantitative models to analyze datasets.
• Build and maintain data pipelines ensuring accuracy and scalability.

Skills

Python

Data manipulation

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance

Tools

Pandas

NumPy

Job description

Global Hedge Fund New York City Metropolitan Area

Direct message the job poster from Global Hedge Fund

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, tools, and data pipelines 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design, Engineering, and Information Technology

• Industries

  Software Development, Banking, and Financial Services

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