Pay: USD 155,000–170,000/year — pay source
Salary 155,000 – 170,000 USD per year 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.
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Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type Full-time
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Before you apply

Sponsorship: Visa sponsorship not confirmed — sponsorship source
GMO will not offer visa sponsorship for this opportunity.
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Apply at GMO Trust

What you’ll work on

Full posting

Develop an expert understanding of GMO’s reference data flow within internal databases and vendor applications: BlackRock Aladdin, NeoXam DataHub, and Eagle PACE
Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality
Create business requirements for the onboarding of new datasets and collaborate with software developers to test and implement data processing/storage

From the employer’s posting

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

What you’ll bring

All qualifications

Core experience

10+ years of relevant investment industry experience, working with reference or research data
Familiarity with BlackRock Aladdin
Strong expertise in portfolio/security master data structures and lifecycle events
Familiarity with financial market data providers (Bloomberg, LSEG, ICE)
Hands-on experience with NeoXam DataHub
Proven experience supporting or leading security master platform conversions/migrations

Qualification wording

10+ years of relevant investment industry experience, working with reference or research data

Familiarity with BlackRock Aladdin

Strong expertise in portfolio/security master data structures and lifecycle events

Familiarity with financial market data providers (Bloomberg, LSEG, ICE)

Hands-on experience with NeoXam DataHub

Proven experience supporting or leading security master platform conversions/migrations

Tools in this posting

Python
SQL
Excel

Source

- 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

- Hands-on experience with NeoXam DataHub - Strong data analysis skills using python and SQL; ability to work with large datasets - Proven experience supporting or leading security master platform conversions/migrations

Job description

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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.

Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO.

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. Proven experience leading or supporting security master conversions and data platform migrations is required. Direct experience with NeoXam DataHub is preferred.

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
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)

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.

Salary

155,000 – 170,000 USD per year

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.

Employment type

Full-time

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Source & posting history

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Pay: Salary 155,000 – 170,000 USD per year 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.
Location & working pattern: Boston, MA
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. Proven experience leading or supporting security master conversions and data platform migrations is required. Direct experience with NeoXam DataHub is preferred. 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
Work authorization: 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. Employment type

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Status in our records: Active
First seen by us: Jul 8, 2026
Recorded sightings: 25
Last seen by us: Oct 7, 2026

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