Quantitative Engineer - Associate

Overview

Join the Tax-Advantaged Equity (TAE) team to design, build and maintain scalable technology and data-driven solutions that support portfolio managers, quantitative researchers and investment professionals.

What you'll do

• 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.

What you'll need

• 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.
• 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.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's degree in computer science, Engineering, Mathematics, Finance, or a related quantitative discipline.

Nice to have

• Exposure to investment management, asset management, or financial services.
• CFA designation or progress toward CFA.

Details

• Location: Bangalore, India.