Wellington

Lead Software Engineer

Boston, MA, United States

Sponsorship not specified$90k-$180kDetected 30 days ago

PythonC#Code ReviewGitSQLAWSAzureCloud PlatformsCI/CDDevOpsExcelResearchCommunicationCollaboration

About the role

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.

Partner closely with Portfolio Managers and Quantitative Researchers to understand research workflows and investment objectives.
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.
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.
In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week.
We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.

Support acquisition, ingestion, and integration of new internal and third‑party datasets required for quantitative research.
Required Skills & Experience

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.

USD 90,000 - 180,000 This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education.
This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salary is only one component of Wellington's total compensation approach.

Design and implement software that supports systematic portfolio construction, optimization, rebalancing, and risk analytics across equity and credit strategies.
Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible.

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.
We are committed to attracting a talented and diverse workforce and fostering an open, collaborative culture of inclusivity because we believe multiple perspectives lead to more informed investment and business decisions.
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.

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

This listing is sourced directly from Wellington's careers page and normalized into a canonical job model.