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Wellington Management

Global asset management for institutional clients

Lead Systems Analyst

Data ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of experience in the asset management or financial services industry.
  • Strong hands-on understanding of investment management datasets and workflows, including positions, performance, reference/security-master data, and investment analytics such as DV01, duration, and returns; ability to recognize unexpected results and investigate their causes.
  • Strong SQL skills, including multi-table joins, as-of/effective-date logic, and diagnosing discrepancies between data sources; strong knowledge of relational databases and familiarity with non-relational data technologies.
  • Practical Python experience for data analysis, troubleshooting, or related technical work.
  • Ability to read and write GraphQL and REST API queries for data access and investigation; service development experience is not required.
  • Working familiarity with AWS S3, Athena, and CloudWatch/OpenSearch for read-level data access and log investigation.
  • Understanding of messaging/notification patterns and batch scheduling concepts.
  • Demonstrated experience independently leading technical initiatives, coordinating competing priorities across business and technology stakeholders, and mentoring junior team members.
  • Ability to represent the team with senior business and technology stakeholders in written and verbal communication.
  • Ability and willingness to work effectively in a business-critical production environment, including production support and escalation responsibilities.
  • Ability to work independently and guide and direct the work of others.
  • Ability and willingness to work in an energetic, fast-paced, team-oriented environment.
  • Hold an undergraduate degree in a related subject.

Responsibilities

  • Lead the technical analysis, design, and delivery of Prism data domains and platform capabilities, independently driving initiatives from requirements through production support.
  • Own and drive the quarterly (PI) roadmap for the Prism platform, coordinating deliverables across multiple business and technology partners, including IBOR, Ref Data Research, Capital Solutions, Sentinel, Securitized Products, and Regulatory Reporting.
  • Define data requirements and guide enhancements to core platform components, including the data persistence/caching framework, notification and messaging pipeline, and metadata deployment and publishing processes, in partnership with development teams.
  • Partner with data producers, consumers, business stakeholders, and application teams to onboard new datasets and design logical data entities, keys, and relationships; assess the downstream impact of source-system changes and guide analysts through complex requirements.
  • Partner with Platform/Infrastructure engineering on deployment strategy, including blue/green deployments, disaster recovery planning, and cloud migration initiatives affecting Prism.
  • Serve as an escalation point for production support, take ownership during incidents, and investigate data and platform issues using SQL, Python, API queries, and cloud data and logs; author and maintain support playbooks, troubleshooting guides, and administrative tooling.
  • Author and review Prism data domain design and support documentation, and help set documentation and design standards for the team.
  • Coordinate with QA, analyst teams, and vendors to define test strategy and ensure smoke test and regression coverage for new and changed capabilities.
  • Identify and drive opportunities for self-service and automation that reduce manual analyst effort across the team.
  • Apply AI-assisted development and analysis tools, such as Claude Code, to accelerate dataset onboarding, testing, and support work, and build reusable AI tools/skills that other analysts on the team can adopt.
  • Mentor junior analysts, review their designs and documentation, and provide technical direction to analysts and developers to support delivery commitments and operational continuity.

Desired Qualifications

  • Familiarity with Snowflake and Microsoft Fabric, given the direction of the firm's data strategy.
  • Experience with metadata-driven data platforms and data federation or integration across multiple sources.
  • Familiarity with cloud deployment strategies, including blue/green deployments, disaster recovery, and cloud migration.
  • Experience using AI coding and analysis assistants, such as Claude Code and GitHub Copilot, to accelerate engineering and analysis work, including building reusable AI-powered tools or automations for a team.
  • Experience with visualization tools such as Tableau.
  • Demonstrated understanding of modern source control tools such as Git and Source Tree, and CI/CD deployment pipelines.
  • SQL query performance tuning experience.
  • Demonstrated ability to design, document, and support highly complex, interrelated systems and data processing pipelines.
  • Experience with messaging/notification systems and batch job scheduling tools.

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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