Quantitative Developer

Quantitative Developer

📍 Location: New York, United States

🏢 Industry: Financial services

💼 Work Setting: Hybrid

Are you passionate about quantitative finance, data engineering, and building analytical tools that drive investment decision-making?

We are seeking a highly analytical Quantitative Developer to support investment research, portfolio analytics, and quantitative strategy development for a large-scale institutional investment portfolio. In this role, you will partner closely with portfolio managers, quantitative strategists, and investment professionals to develop data pipelines, implement statistical models, and transform research ideas into scalable production solutions.

The ideal candidate combines strong software engineering and quantitative skills with an interest in financial markets and investment management, helping deliver insights and technologies that support portfolio construction, risk management, asset allocation, and investment performance.

Key Responsibilities

Quantitative Development

• Design, build, and maintain quantitative applications that support investment analysis and portfolio management.
• Develop and implement statistical, mathematical, and machine learning models for investment decision-making.
• Translate research concepts into scalable, production-ready analytical tools.
• Support development of hedging, pricing, risk, and asset allocation models.

Data Engineering & Analytics

• Design and maintain robust data pipelines that support portfolio analytics and quantitative research.
• Integrate, transform, and manage large financial and market datasets from multiple sources.
• Ensure data accuracy, quality, and availability for investment modeling activities.
• Optimize data workflows and analytical infrastructure for efficiency and scalability.

Investment Research Support

• Collaborate with portfolio managers and strategists to evaluate investment opportunities and portfolio risks.
• Support analysis across multiple asset classes, including:
• Fixed Income
• ETFs
• Structured Credit
• Derivatives
• Commercial Real Estate
• Build tools that improve portfolio monitoring and investment insights.
• Assist with quantitative research initiatives that support investment performance.

Model Development & Implementation

• Develop, test, and deploy statistical and quantitative models.
• Support predictive analytics and machine learning initiatives.
• Evaluate model performance and implement enhancements as needed.
• Contribute to the development of risk and return measurement frameworks.

Software Engineering & Platform Development

• Write clean, maintainable, and production-quality code.
• Develop scalable software solutions following engineering best practices.
• Participate in code reviews, testing, and deployment activities.
• Support modernization of quantitative technology platforms.

Cloud & Automation

• Support deployment of analytical applications in cloud environments.
• Implement CI/CD practices and automated workflows.
• Contribute to MLOps and model lifecycle management capabilities.
• Leverage modern tools and platforms to improve development efficiency.

Collaboration & Innovation

• Work closely with investment teams, researchers, and technology professionals.
• Participate in technical discussions and investment strategy initiatives.
• Explore emerging technologies and innovative approaches to quantitative investing.
• Contribute to a culture of continuous learning and analytical excellence.

Qualifications

Required

• Bachelor’s Degree in:
• Computer Science
• Engineering
• Mathematics
• Information Technology
• Related Quantitative Discipline
• 6+ months of software development experience through:
• Professional Experience
• Research Projects
• Academic Projects
• Internships
• Strong analytical and problem-solving skills.
• Programming experience with Python or related technologies.
• Interest in quantitative finance, investment management, and financial markets.

Preferred

• Master’s Degree in a quantitative or technical field.
• Experience with:
• ETL Development
• Data Pipelines
• Cloud Technologies
• Data Architecture
• CI/CD Pipelines
• Quantitative modeling or machine learning experience.
• Excel and Python integration experience.
• Experience using:
• GitHub
• Docker
• MLOps Tools
• Exposure to AI-assisted development tools, including Anthropic Claude.
• Interest in fixed income, structured products, derivatives, or a…