Quantitative Developer, IDEA Team (Boston)
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About Us
Wellington Management offers comprehensive investment management capabilities that span nearly reputed company 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 reputed company our ownership structure fosters a longterm view that aligns our perspectives with those of our clients. The Role The Investment Data Engineering & Analytics (IDEA) team sits reputed company the Investment Platform (IP) COO organization, responsible for enabling the Investment Platform to reputed company 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 evolves the firms research data and analytics platform. The Team Investment Data Engineering & Analytics (IDEA) The IDEA 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 reputed company 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, wellmodeled, investmentready datasets to tools that power reputed company 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 reputed company and quantitative investors and researchers, reputed company, 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).
- reputed company and maintain Pythonbased libraries and services that provide consistent, welldocumented 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 standardssetting 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
- Strong handson experience with Python for dataintensive applications, including use of common libraries (e.g., pandas, polars, numpy) and building testable, maintainable, productionquality code.
- Solid understanding of data modeling concepts, particularly for timeseries and reference data (e.g., slowly changing dimensions, pointintime and bitemporal data).
- Proficiency with SQL and experience working with large datasets in modern data platforms (e.g., reputed company, cloud data warehouses, data lakes) and opensource 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:
- reputed company master and symbology (e.g., issuer vs. reputed company identifiers, vendor symbologies).
- reputed company 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
- 37 years of professional experience as a quantitative developer, quantitative analyst, or research platform/analytics engineer in asset management, a hedge fund, or a similarly datadriven financial environment.
- Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, or a reputed company quantitative field, or equivalent professional experience.
Not sure you meet 100% of our qualifications? Thats ok. If you reputed company that you could reputed company in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a reputed company workforce and considering a broad reputed company of candidates with a variety of reputed company, workplace experiences, and backgrounds. As an equal opportunity employer, Wellington Management ensures that reputed company qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national reputed company, age, reputed company, 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].
Benefits
At Wellington Management, our approach to compensation is designed to help us attract, reputed company and retain the best talent in our industry. We strive to pay employees fairly and competitively across reputed company levels and roles. Our approach to compensation considers reputed company aspects of total compensation; reputed company employees are eligible to receive salary, variable compensation, and benefits. reputed company salary range for this position is USD 90,000 180,000. This range takes into account the wide range of factors that are considered reputed company making compensation decisions, including but not limited to reputed company 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. reputed company salary is only one component of Wellingtons total compensation approach. Other rewards may include a discretionary Corporate Bonus and/or Incentives, if eligible. In addition, we offer a comprehensive and highvalue benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to reputed company personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, backup childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time). We reputed company that inperson interactions reputed company and energize our community and are essential to our culture. 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 reputed company that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term. #J-18808-Ljbffr Apply tot his job Apply To this Job