Senior Business Analyst, Hedge Funds Technology

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.

We are seeking a Senior Business Analyst to play a critical role in delivering solutions for our hedge fund investment teams. This role requires strong analytical skills, exceptional attention to detail, and the ability to translate complex business needs into scalable technology solutions. The successful candidate will be a self‑starter who can manage multiple priorities, collaborate effectively across the organization, and operate comfortably in a fast‑paced, business‑critical environment.

Excellent communication, organization, and delivery skills are essential, as is a strong desire to continuously learn and improve.

• Partner directly with business stakeholders at all levels to define, analyze, prioritize, and document requirements.
• Act as a trusted advisor and advocate for business needs, balancing near‑term delivery with long‑term platform scalability.
• Perform detailed systems analysis and produce clear functional specifications, workflows, and use cases for delivery teams.
• Develop a deep understanding of internal systems, APIs, and datasets to inform solution design and assist with support efforts.
• Collaborate closely with engineering teams to ensure timely delivery of high‑quality, scalable solutions.
• Provide input into system design and support estimation, planning, and implementation scheduling.
• Ensure solution quality by defining and enforcing testing standards, validation controls, and auditability requirements.
• Perform hands‑on analysis for production issues and support user training and adoption.
• Manage product releases and coordinate post‑release validation and stabilization.
• Develop prototypes and support UX/UI design efforts where appropriate.
• Assist with project management activities, including status reporting, dependency management, and issue tracking.

• 7+ years of experience in business analysis several years in investment management or financial services.
• Proven experience working directly with business partners and leading end‑to‑end solution delivery.
• Strong experience writing requirements, functional specifications, use cases, and test plans.
• Solid understanding of portfolio management, investment workflows, and hedge fund operations; experience with portfolio management or portfolio implementation systems is a plus.
• Broad understanding of asset classes (equities, fixed income, FX, derivatives) and key investment data concepts including holdings, transactions, analytics, performance, and risk.
• Strong analytical and problem‑solving skills with exceptional attention to detail.
• Excellent written and verbal communication skills.
• Hands‑on data analysis experience, including strong SQL skills or experience with relational databases.
• Experience with Python; familiarity with tools such as Tableau, JIRA, and version control systems (e.g., Git) is a plus.
• Experience documenting and diagramming workflows using tools such as Visio.
• Experience analyzing HTTP requests and responses using tools such as Postman or Hoppscotch.
• Experience leveraging modern analytics, automation, or AI‑assisted tools (e.g., AI copilots, code assistants, workflow automation) to improve productivity, analysis, or documentation quality.
• Ability to apply AI tools responsibly, with an understanding of data privacy, intellectual property, and model limitations.
• Demonstrated interest in using AI and advanced tooling to enhance business analysis workflows, including requirements development, data exploration, testing, and knowledge discovery.
• Comfort collaborating with engineering teams on data‑ and AI‑enabled solutions, even if not directly responsible for…