Lead Software Engineer

About Us

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.

About the Role

Lead Software Engineer - Quantitative Investment Group

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.

Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies.

At Wellington Management, our appetite for technology is insatiable. We recognize that the world is full of fascinating questions that will impact the future of companies, economies, financial markets, and entire industries. We want you to help us find answers to these questions by building and evolving our innovative, industry-leading technology platform. As technology needs advance, this complexity requires a highly sophisticated, well-managed platform built by people like you. This is your chance to build something incredible.

JOB 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 & 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 (e.g., securities, regions, model concepts, regimes) into durable, well‑designed software components.
• Enable seamless interoperability between legacy research environments and modern Python‑ and C#‑based platforms, minimizing friction as technologies evolve.

Data & 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 & 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 Linus & Windows system administration

Collaboration & 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 & Experience
 

Technical Skills

• 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 (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

Quantitative & Data Context

• 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.
   

Ways of Working

• 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.
   

Experience & Education

• 5–10 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.

Not sure you meet 100% of our qualifications?  That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at [email protected].

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is: