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GMO

Asset management with long-term, valuation-based investing

Data Platform Analyst

Data ManagementConfirmed live in the last 24 hours
Full-timeBoston, MA, USA$155k - $170k /yr

About the Job

Requirements

  • 10+ years of relevant investment industry experience working with reference or research data.
  • Strong expertise in portfolio and security master data structures and lifecycle events.
  • Hands-on experience with NeoXam DataHub.
  • Strong data analysis skills using Python and SQL, including the ability to work with large datasets.
  • Proven experience supporting or leading security master platform conversions or migrations.
  • Working knowledge of artificial intelligence tools and demonstrated interest in applying them to evolving business needs.
  • Flexibility to be on call and log in at night as needed on a rotational basis.
  • Familiarity with BlackRock Aladdin.
  • Familiarity with financial market data providers, including Bloomberg, LSEG, and ICE.

Responsibilities

  • Develop an expert understanding of GMO’s reference data flow within internal databases and vendor applications, including BlackRock Aladdin, NeoXam DataHub, and Eagle PACE.
  • Act as the NeoXam DataHub application subject matter expert by validating portfolio master and other reference data, resolving production issues, and ensuring scalable integration with downstream systems.
  • Identify recurring issues, process gaps, and data quality risks through hands-on operational execution, and translate findings into business requirements and recommendations for workflow, control, automation, and data quality improvements.
  • Analyze data in multiple databases and use vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality.
  • Support design, governance, and transformation activities for portfolio, security master, and reference data across enterprise platforms, including data model review, conversion analysis, controls, and cross-functional stakeholder alignment.
  • Automate or improve processes and procedures, such as control reports and daily checklists.
  • Create business requirements for onboarding new datasets and collaborate with software developers to test and implement data processing and storage.
  • Explore artificial intelligence tools to enhance reference data operations, data quality controls, and production monitoring processes.
  • Help evolve the team from manually maintaining data to maintaining and monitoring data definitions, quality service-level expectations, exception thresholds, and downstream consumption patterns.
  • Partner with data engineering and business stakeholders to modernize static data quality rules, including null checks, format checks, and cross-field validations, by introducing contextual quality validation that can learn from historical data, market behavior, and cross-dataset relationships.

Desired Qualifications

  • Direct experience with NeoXam DataHub is preferred.

About the Company

GMO

Asset management with long-term, valuation-based investing

GMO provides investment management for institutions, financial intermediaries, and families worldwide across asset classes. Its teams use a long-term, valuation-based approach to identify opportunities and tailor investment solutions, emphasizing contrarian opportunities and clear client reporting. The firm differentiates itself with a collection of focused investment teams, an open culture of debate, and bespoke client service backed by a disciplined philosophy and global reach. Its goal is to help clients achieve their financial objectives through prudent, risk-aware returns delivered via tailored solutions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1977

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