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Lead Software Engineer

Job in Howell, Monmouth County, New Jersey, 07731, USA
Listing for: SwiftCruit
Full Time position
Listed on 2026-08-04
Job specializations:
  • Software Development
    Python, Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 180000 USD Yearly USD 90000.00 180000.00 YEAR
Job Description & How to Apply Below

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

TITLE:

Lead Software Engineer, Investment Platform Technology

TEAM:
Solutions Technology

LOCATION:

Boston

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.

As a private partnership whose sole business is investment management, our long‑term views and interests are aligned 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.

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. This position is within our Information Technology team.

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. This role will work primarily in Python and C#, 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…
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