Quantitative Engineer - Associate

Job Summary

The Tax-Advantaged Equity (TAE) team is seeking to enhance its investment platform, analytics, and portfolio management capabilities by adding a partner focused on developing scalable technology and data-driven solutions that support portfolio managers, quantitative researchers, and investment professionals.

This role will focus on building and modernizing investment applications, analytics platforms, workflow tools, and data pipelines that support tax-managed equity strategies, portfolio construction, tax-loss harvesting, investment analytics, and portfolio management processes.

The ideal candidate will combine strong software engineering and cloud development expertise with an understanding of investment management workflows. This individual will work closely with portfolio managers, quantitative researchers, and analytics teams to design and deliver modern applications and scalable platforms that improve investment decision-making, operational efficiency, and client outcomes.

This role is central to advancing the TAE technology platform by embedding modern engineering practices, cloud-native solutions, and data analytics capabilities into the investment process.

Major Responsibilities

• Partner with the Tax-Advantaged Equity team to design, develop, and maintain investment technology platforms supporting portfolio management, tax optimization, investment analytics, and research workflows.
• Build modern web applications and dashboards using .NET, C#, and cloud-native technologies to provide portfolio managers and researchers with intuitive access to investment insights and workflow tools.
• Develop scalable APIs, services, and application frameworks that support portfolio construction, tax-loss harvesting, portfolio monitoring, and investment reporting capabilities.
• Design and maintain cloud-based data pipelines that aggregate, normalize, and distribute investment, benchmark, portfolio, holdings, transaction, and market data for research and production use cases.
• Leverage Azure Cloud technologies to build resilient, secure, and scalable solutions that support the investment lifecycle.
• Develop Python-based analytics and automation tools that improve research productivity, portfolio analytics, and operational efficiency.
• Collaborate with quantitative researchers and portfolio managers to implement new investment models, portfolio optimization techniques, and analytical capabilities.
• Improve application performance, scalability, and reliability by applying software engineering best practices, testing frameworks, and CI/CD processes.
• Work with cross-functional teams across Investments, Technology, Data Engineering, and Analytics to ensure technology solutions align with business objectives.
• Identify innovative solutions to complex business and technical challenges and advocate for their implementation through effective communication and stakeholder engagement.
• Engage with business stakeholders to gather requirements, provide updates, and ensure successful delivery of technology solutions.
• Work within established development, security, governance, and risk management standards.

Knowledge/Skills

• Strong software engineering and application development experience, preferably within financial services or investment management.
• Experience building enterprise applications using .NET and C#.
• Understanding of Azure Cloud, cloud-native architectures, APIs, and distributed systems.
• Experience developing data-driven solutions and analytics platforms using Python.
• Familiarity with investment management concepts including Equities, Portfolio Construction, Tax-managed investing, Portfolio analytics, Risk management and Investment workflows.
• Strong understanding of software development lifecycle, DevOps practices, and modern engineering principles.
• Ability to connect technology solutions with business outcomes in an investment management environment.
• Strong written and verbal communication skills.
• Demonstrated ability to work collaboratively with portfolio managers, quantitative researchers, investment analysts, and technology partners.
• Experience with relational databases, SQL, and data modeling.
• Familiarity with modern web application architectures and API development.

Experience Required

• 1-4 years of experience in software engineering, quantitative engineering, investment technology, or data engineering.
• Strong proficiency in C# .NET, React, Python and SQL.
• Experience with Microsoft Azure, Azure App Services, Azure Functions, Azure DevOps, Azure Storage, Azure SQL or equivalent cloud services.
• Experience building APIs, enterprise applications, dashboards, and cloud-based solutions.
• Exposure to investment management, asset management, or financial services is preferred.
• Strong analytical, problem-solving, and communication skills.
• Bachelors degree in computer science, Engineering, Mathematics, Finance, or a related quantitative discipline.
• CFA designation or progress toward CFA is a plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.