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

The Team Investment Data Engineering & Analytics (IDEA)

The Investment Data Engineering & Analytics (IDEA) team sits within the Investment Platform (IP) COO organization. The IP COO group is responsible for enabling the Investment Platform to achieve its growth and efficiency goals by creating scalable centers of excellence aligning with business needs and integrating business and technology strategies.

As data continues to grow in importance as an enabler of the investment process the IDEA team is responsible for evolving the firms research data and analytics platform. The team partners closely with investors technologists and enterprise data functions to build and sustain a platform that provides seamless access to a library of foundational research data and analytics across asset classes.

The Position

We are seeking a Quantitative Developer to join the IDEA team and help design build and extend our central research data platform. This individual will work primarily in Python and modern cloud data technologies to build the full stack of investment data and analytics: from transforming raw vendor and internal data into clean well-modeled investment-ready datasets to tools that power fundamental and systematic research.

The ideal candidate combines strong Python engineering skills a deep interest in data modeling and architecture and a practical understanding of investment data and how investors use it. This person is energized by building in a dynamic environment comfortable with ambiguity and motivated by the opportunity to create structure from complexity.

This role will work closely with both fundamental and quantitative investors and researchers technology partners and enterprise data teams.

Key Responsibilities

• Design and implement robust data models for securities issuers fundamentals time series and analytics across multiple asset classes (e.g. equity fixed income macro).
• Develop and maintain Python-based libraries and services that provide consistent well-documented access to research data and analytics.
• Partner with data engineering to ensure upstream data and pipelines support analytics needs.
• Collaborate with investors and quantitative researchers to understand their workflows and translate requirements into scalable data and tooling solutions.
• Contribute to the rationalization of data vendors and the convergence of legacy data stores into a cohesive central platform capability.
• Implement and enhance data and analytics quality controls monitoring and documentation to promote trust in both the data and the analytics built on top of it.
• Participate in code reviews design discussions and standards-setting to ensure high engineering quality and reusability across the platform.
• Proactively identify opportunities to improve performance usability and reliability of the platform and drive initiatives from concept through to adoption.

Required Skills & Qualifications

Technical skills

• Strong hands-on experience with Python for data-intensive applications including use of common libraries (e.g. pandas polars numpy) and building testable maintainable production-quality code.
• Solid understanding of data modeling concepts particularly for time-series and reference data (e.g. slowly changing dimensions point-in-time and bi-temporal data).
• Proficiency with SQL and experience working with large datasets in modern data platforms (e.g. Snowflake cloud data warehouses data lakes) and open-source formats such as parquet.
• Strong software engineering fundamentals: version control (git) code reviews unit/integration testing logging and documentation.

Domain knowledge

• Working knowledge of investment data including:
  • Security master and symbology (e.g. issuer vs. security identifiers vendor symbologies).
  • Fundamental data (e.g. financial statements estimates) pricing and returns benchmarks and basic risk/portfolio concepts.
• Familiarity with the practical use of data in investment workflows such as screening backtesting portfolio analysis factor and performance / attribution concepts.

Experience & Education

• 3-7 years of professional experience as a quantitative developer quantitative analyst or research platform/analytics engineer in asset management a hedge fund or a similarly data-driven financial environment.
• Bachelors degree in Computer Science Engineering Mathematics Statistics or a related quantitative field or equivalent professional experience.

Not sure you meet 100% of our qualifications Thats 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 .

At Wellington Management our approach to compensation is designed to help us attract inspire and retain the best talent in our 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: