Quantitative Developer (Investment firm)

Location: New York City or Connecticut (Hybrid)
Compensation: Competitive base salary plus performance bonus
Industry: Investment Management / Financial Services

A sophisticated investment organization is seeking a hands-on Quantitative Developer to help build, maintain, and enhance critical portfolio and investment technology platforms. This individual will serve as a key technical contributor, partnering closely with investment professionals, quantitative researchers, traders, and technology teams to develop scalable, reliable, and auditable solutions that support the firm's investment process.

This role offers significant exposure to portfolio management, trading, and investment operations while providing the opportunity to influence the design and evolution of a modern quantitative technology ecosystem.

• Design, develop, and maintain scalable Python-based applications and infrastructure.
• Build high-quality, reliable systems supporting investment and portfolio management functions.
• Establish and promote software development best practices, testing standards, and code quality frameworks.
• Collaborate with quantitative researchers, traders, analysts, and business stakeholders to deliver technology solutions aligned with investment objectives.
• Translate complex business requirements into robust technical implementations.
• Analyze data and system behavior to identify trends, improvements, and optimization opportunities.
• Develop and maintain technical documentation, procedures, and operational standards.
• Monitor application performance and proactively address system issues.
• Ensure compliance with internal governance, security, and regulatory standards.
• Support ongoing enhancements to investment technology architecture and workflows.
• Participate in project planning, execution, and delivery across multiple initiatives.
• Provide technical support and training to users as needed.

• 4+ years of experience in quantitative development, quantitative engineering, financial technology, or a related field within investment management, hedge funds, asset management, banking, or capital markets.
• Strong programming experience in Python and SQL.
• Experience working with data platforms, databases, and modern data architecture environments.
• Familiarity with cloud-based technologies and software development best practices.
• Bachelor's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline.

Candidates should possess exposure to one or more of the following areas:

• Portfolio implementation and investment operations.
• Portfolio rebalancing and trade lifecycle workflows.
• Cash, collateral, and liquidity management.
• Trade execution and investment data management.
• Risk management or quantitative research environments.
• Middle-office and back-office investment operations.
• Equities, fixed income, futures, options, or other financial instruments.

• Strong analytical and problem-solving capabilities.
• Ability to operate effectively in a fast-paced investment environment.
• Excellent communication and collaboration skills.
• Intellectual curiosity and a continuous improvement mindset.
• Ability to balance technical excellence with practical business needs.
• Willingness to travel occasionally as business needs require.

• Hybrid work arrangement with regular in-office collaboration.
• Opportunity to work directly alongside investment professionals and senior technology leaders.
• Highly visible role supporting mission-critical investment systems and processes.
• Long-term growth potential within a collaborative and performance-oriented organization.