About Wellington Management

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

Tracing our roots to 1928, we are one of the world's largest independent investment management firms. With over US$1.3 trillion in assets under management, we serve as trusted advisers to institutional clients and mutual fund sponsors in more than 50 countries.

Role Overview

We are seeking a Software Engineer embedded directly within our Quantitative Investment Group to serve as a hands-on technical partner to Portfolio Managers and Quantitative Researchers. Using Object Oriented Design languages and Python, this work will be supporting the full lifecycle of systematic investment workflows from research enablement and data integration to platform development and firmwide integration.

This is not a traditional support or centralized platform role. The successful candidate will help in the design, implementation, and evolution of QIG's quantitative portfolio and research infrastructure, translating portfolio construction, optimization, and risk research into scalable, production-grade systems while aligning with broader firmwide technology initiatives.

Responsibilities

Quantitative Research and Portfolio Enablement

• •Partner closely with Portfolio Managers and Quantitative Researchers to understand research workflows and investment objectives.
• •Design and implement software that supports systematic portfolio construction, optimization, rebalancing, and risk analytics across equity and credit strategies.
• •Enable rapid research iteration while ensuring a clear and deliberate path to production-quality implementations.
• •Help ensure consistency and rigor between research prototypes and live portfolio implementation, reducing model and operational risk.

Quantitative Platform Modernization

• •Support the migration and standardization of systematic models onto next-generation quantitative frameworks, improving scalability, performance, and reproducibility.
• •Build and maintain shared time-series and factor data services that streamline factor timing, regime analysis, and model execution.
• •Partner with researchers to evolve domain abstractions into durable, well-designed software components.
• •Enable seamless interoperability between legacy research environments and modern Python- and C#-based platforms.

Data and Integration

• •Support acquisition, ingestion, and integration of new internal and third-party datasets required for quantitative research.
• •Design data access patterns that support time-series correctness, back-testing accuracy, and point-in-time analysis.
• •Collaborate with enterprise data and platform teams to align with firmwide data standards while preserving QIG's research velocity.

Infrastructure, DevOps and Firmwide Alignment

• •Partner with platform and DevOps teams to spin up and evolve research and production environments as needed.
• •Contribute to CI/CD, environment standardization, and operational best practices.
• •Act as a bridge between QIG and broader Technology teams, ensuring architectural, security, and strategic alignment.
• •Basic Linux and Windows system administration.

Collaboration and Engineering Excellence

• •Participate in design discussions, code reviews, and technical standards-setting.
• •Author clear technical documentation for both researchers and technologists.
• •Contribute to a collaborative culture that values correctness, transparency, and continuous improvement.

Required Skills and Experience

• •Experience in Object Oriented Languages such as C#, C++ or Java.
• •Strong professional experience with Python for data-intensive or analytical applications.
• •Strong software engineering fundamentals: version control with Git, testing, documentation, logging, and code reviews.
• •Experience designing APIs, services, or shared libraries used by multiple consumers.
• •Experience with AWS, Azure or other cloud environments.
• •Experience with Microsoft SQL Server.
• •Experience working with large, complex datasets and analytical workflows.
• •Familiarity with time-series data, numerical computation, and data modeling concepts.
• •Interest in, or exposure to, systematic investment or research-driven environments.
• •Comfortable operating in an embedded model with frequent, direct interaction with researchers and Portfolio Managers.
• •Able to balance rapid iteration with long-term maintainability and platform thinking.
• •Strong communication skills and the ability to translate abstract concepts into robust technology.
• •5 to 10 years of professional experience as a software engineer, quantitative developer, or similar role.
• •Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.

Compensation

The base salary range for this position is USD 90,000 to 180,000. Other rewards may include a discretionary Corporate Bonus and/or Incentives. Wellington offers a comprehensive benefits package including retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition and CFA reimbursement, and paid time off.

Employees work from our offices 4 days a week with flexibility to work remotely 1 day a week.