Data Platform Analyst

GMO; Boston (MA); On-site; USD 155,000 - 170,000; Full time

Job summary

GMO is seeking an experienced Data Platform Analyst to join the Data Engineering and Operations team in the Technology group in Boston. The role focuses on evolving GMO’s security master and portfolio data platforms, leveraging NeoXam DataHub, and collaborating with Operations and Investment teams to translate operational insight into scalable workflow and data quality improvements.

The position is hybrid with a minimum of two days in the office per week, with the balance remote or in the

Qualifications

• 10+ years of investment industry experience with reference or research data
• Expertise in portfolio and security master data structures and lifecycles
• Hands-on experience with NeoXam DataHub (mandatory)
• Strong Python and SQL skills; able to work with large datasets
• Experience supporting or leading security master conversions/migrations
• Interest in applying AI tools to evolving business needs
• High energy, conscientious, self-directed with strong work ethic
• Rotational on-call availability for night logging
• Curiosity about investment data
• Attention to data quality and controls
• Strong analytical, organizational, project management, and written communication skills
• Familiarity with BlackRock Aladdin
• Familiarity with Bloomberg/LSEG/ICE data providers

Responsibilities

• Develop understanding of GMO’s reference data flow across internal databases and vendor apps (BlackRock Aladdin, NeoXam DataHub)
• Serve as NeoXam DataHub SME: validate portfolio master data and ensure scalable integration
• Identify recurring issues and translate findings into workflow, control, automation, and data quality improvements
• Analyze data using Python, SQL, and Excel to propose quality improvements
• Support governance and transformation activities for portfolio, security master, and reference data across platforms
• Automate processes and create control reports or daily checklists
• Create requirements for onboarding new datasets and collaborate with developers
• Explore AI tools to enhance reference data operations and monitoring
• Evolve from manual maintenance to data quality SLAs and downstream consumption patterns
• Partner with data engineering and stakeholders to modernize quality rules

Skills

Python

SQL

Data quality

Analytical thinking

Investment data

Communication

Attention to detail

On-call

Curiosity

Team collaboration

Tools

NeoXam DataHub

BlackRock Aladdin

Job description

Company Profile

Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer investment strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, equity, fixed income and alternative offerings.

We manage approximately $80bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.

GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results.

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)

$155,000 - $170,000 a year

This salary range is estimated for this role and actual pay may be different based on a candidate’s qualifications and/or years of experience. In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long‑term disability coverage, a 401(k)/profit‑sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.

GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

GMO will not offer visa sponsorship for this opportunity.