Position Overview
We are seeking an experienced Data Platform Analyst to join GMO’s Data Engineering and Operations team within the Technology group. This role offers an opportunity for a seasoned Analyst to leverage their financial reference data and enterprise data platforms experience to evolve GMO’s security master data and portfolio data platforms. Partnering with GMO’s Operations and Investment teams, a successful candidate will translate operational insight into scalable workflow, control, automation, and data quality improvements. They will bring deep experience in Neoxam’s DataHub application and a proven track record leading or supporting security master conversions and data platform migrations.
The position will be based in Boston where GMO is currently operating in a hybrid work model, with the current expectation that this person will be in the office for a minimum of 2 days per week and the balance of the week working either in the office or remotely.
Responsibilities
- Develop an expert understanding of GMO’s reference data flow within internal databases and vendor applications: BlackRock Aladdin, NeoXam DataHub, and Eagle PACE
- Act as the NeoXam DataHub application subject matter expert: validate portfolio master and other reference data, resolve production issues, and ensure scalable integration with downstream systems
- Through hands-on operational execution, identify recurring issues, process gaps, and data quality risks; translate findings into business requirements and recommendations for workflow, control, automation, and data quality improvements
- Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality
- Support the 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
- Think critically to help automate or improve processes and procedures (e.g. control reports, daily checklist)
- Create business requirements for the onboarding of new datasets and collaborate with software developers to test and implement data processing/storage
- Explore artificial intelligence tools to enhance existing reference data operations, data quality controls, and production monitoring processes
- Participate in the team’s evolution 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, such as 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
Required Skills
- 10+ years of relevant investment industry experience, working with reference or research data
- Strong expertise in portfolio/security master data structures and lifecycle events
- Hands-on experience with NeoXam DataHub (mandatory)
- Strong data analysis skills using python and SQL; ability to work with large datasets
- Proven experience supporting or leading security master platform conversions/migrations
- Working knowledge of Artificial Intelligence tools and a demonstrated interest in applying them to evolving business needs
- High energy and positive attitude – candidate should be conscientious, self-directed, and possess a strong work ethic
- Flexibility to be on call to log in at night as needed on a rotational basis
- Intellectual curiosity about investment data
- Attention to detail with a focus on data quality and control
- Strong analytical, organizational, project management, and written communication skills.
- Familiarity with BlackRock Aladdin
- Familiarity with financial market data providers (Bloomberg, LSEG, ICE)
GMO Boston, Massachusetts, USA Office
40 Rowes Wharf, Boston, MA, United States, 02110
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