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Wellington Management

Global asset management for institutional clients

Senior Systems Analyst

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeBoston, MA, USA

About the Job

Requirements

  • At least 7 years of experience in the financial industry, with a strong understanding of portfolio accounting, investment operations, and Investment Book of Records concepts.
  • A bachelor's degree in Business Management, Computer Science, or Engineering is required.
  • Experience gathering functional requirements, developing specifications, creating test plans, and executing tests.
  • Experience with design and development.
  • Advanced SQL and database troubleshooting skills.
  • Experience working in an Agile/SCRUM development process.
  • Experience with business process visualization tools.
  • Strong written, verbal communication, and presentation skills.
  • Strong analytical and problem-solving skills.
  • Client focus and relationship management skills.
  • Willingness to learn, work as part of a global team, and work independently in a fast-paced, business-critical, team-oriented environment.
  • Ability to deliver projects on time and overcome obstacles.
  • Ability to collaborate across teams.
  • Strategic and AI mindset, strong work ethic, and intellectual curiosity.

Responsibilities

  • Work directly with data consumers and producers while supporting the Investment Book of Records platform.
  • Analyze reconciliation breaks between the Investment Book of Records platform and upstream/downstream systems.
  • Perform detailed analysis using SQL, logs, and application monitoring tools.
  • Support data accuracy and timely updates for data used by investment professionals.
  • Collaborate with offshore colleagues and act as a point of escalation.
  • Monitor and maintain data quality across internal systems and databases.
  • Respond to data-related queries and troubleshoot issues from business users.
  • Perform data validation, cleansing, and reconciliation tasks.
  • Assist in creating and maintaining reports and dashboards.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data processes and contribute to process improvement initiatives.
  • Support onboarding new data sources and system enhancements.
  • Enforce product quality standards in testing and build audit and validation controls.
  • Act as an escalation point for support issues requiring detailed analysis and management.
  • Provide regular status reporting and issue tracking.
  • Take ownership of projects supporting a fast-paced environment.
  • Implement process improvements involving internal and external data pipelines, investment process efficiency, and simplified investor workflows.
  • Understand key business challenges and opportunities and originate ideas for how systems can address them.
  • Partner with development teams and business analysts to solve complex problems and document reusable solutions.
  • Assist with integrating artificial intelligence technologies into Global Data & Application Support processes.
  • Proactively solve problems and continuously improve data support methodologies.
  • Use SQL, prompt engineering, generative artificial intelligence technologies, Python, and GraphQL to support and enhance data processes.
  • Identify use cases for artificial intelligence and automation to improve incident detection, triage, knowledge reuse, and operational efficiency while maintaining controls and compliance.
  • Champion artificial intelligence adoption by standardizing patterns and integrating artificial intelligence into daily workflows.
  • Partner with enterprise artificial intelligence, data, and technology teams to pilot, scale, and refine artificial-intelligence-enabled solutions, including intelligent monitoring, incident summarization, automated reporting, and knowledge base generation.

Desired Qualifications

  • Hands-on experience with Python or another programming language is highly desirable.
  • A CFA charter or progress toward a CFA charter is a plus.
  • Hands-on experience with artificial-intelligence-powered tools such as large language models, copilots, chatbots, or workflow automation platforms in a business or support environment.
  • Familiarity with prompt engineering and evaluating artificial intelligence output quality, accuracy, and risk.
  • Demonstrated use of generative-AI-assisted tools such as GitHub Copilot or Claude Code.

About the Company

Wellington Management

Global asset management for institutional clients

Wellington Management is a global investment management firm that offers equity, fixed income, multi-asset, and alternative investments to both institutional clients (such as pension funds, endowments, foundations, and insurers) and individual investors. It manages assets on behalf of clients, earning fees based on assets under management (AUM) and on investment performance. The firm relies on deep research capabilities and market insights to tailor investment strategies that meet client needs, and it integrates environmental, social, and governance (ESG) factors into its process. What sets Wellington Management apart is its broad suite of investment options combined with a commitment to ESG integration and a client-tailored approach, supported by a culture that emphasizes diversity and inclusion. The company’s goal is to help clients achieve their investment objectives by delivering disciplined, research-driven strategies and sustainable investing over the long term.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$66.9B
Headquarters
Boston, MA
Founded
1933

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