GMO
GMO
GMO — институционалдық инвесторларға, отбасылық кеңселерге, консультанттарға, делдалдарға және активтерді басқарушыларға қызмет көрсететін жаһандық инвестицияларды басқару компаниясы. Оның қызметі көп активті стратегияларды, акцияларды, баламалы инвестицияларды, тіркелген кірісті құралдарды және жеке қорларды қамтиды. Бұл бағыттар инвестициялық зерттеулермен және нарықтық зерттеулер мен жаңартулардың кең кітапханасымен қолдау табады. Сонымен қатар, GMO ұзақ мерзімді экономикалық өзгерістерді, соның ішінде төмен көміртекті экономикаға көшу үдерісін ескеретін ESG-ге бағытталған инвестициялық тәсілдерді әзірлейді. Джереми Грэнтэм негізін қалаған компания зерттеуге негізделген портфельдік басқаруды бүкіл әлемдегі клиенттерге арналған қаржылық шешімдермен ұштастырады.

Data Management Analyst, Boston (Hybrid)

Improve data quality, governance, and automation across GMO’s global investment-management platforms. Build Python and SQL solutions for investment data systems in this hybrid Boston role.

Сипаттама

  • Learn GMO’s data architecture, data flows, business processes, internal platforms, databases, and vendor applications
  • Design and maintain automated data onboarding, validation, and enrichment across enterprise, internal, and third-party systems
  • Develop monitoring, alerting, and control frameworks for data-quality issues, operational exceptions, and processing failures
  • Investigate data across systems and databases to uncover root causes, recurring issues, control gaps, and automation opportunities
  • Collaborate with Operations, Investment, Compliance, Client Service, and Data Engineering teams
  • Convert business and operational needs into clear technical specifications
  • Build and maintain Python, SQL, API, and data-platform solutions for validation, reconciliation, exception handling, reporting, and workflow automation
  • Support data integrations, platform improvements, vendor connectivity, and modernization efforts
  • Define and maintain governance standards for lineage, ownership, quality rules, controls, and metadata
  • Produce technical documentation, support models, control procedures, data dictionaries, and operational runbooks
  • Find ways to reduce manual work, improve scalability, strengthen controls, and increase process reliability
  • Support cloud adoption, data migrations, and conversion projects through mapping, testing, automation, validation, and issue resolution
  • Assess and deploy automation, artificial intelligence, and advanced analytics capabilities
  • Help develop reusable data-management frameworks, tools, and services

Талаптар

  • Bachelor’s degree or equivalent relevant experience
  • 3–7 years of experience in asset management, financial services, investment operations, data management, reference data, security master, portfolio data, market data, or investment technology
  • Experience using Python or comparable tools for data analysis, validation, or automation
  • Working knowledge of relational databases, with experience using Python and SQL to analyze data and investigate issues
  • Experience handling financial, operational, or enterprise data across multiple systems
  • Experience with investment data platforms such as NeoXam DataHub, BlackRock Aladdin, and Eagle PACE
  • Familiarity with financial market-data providers including Bloomberg, LSEG, or ICE
  • Strong analytical and problem-solving abilities
  • Careful attention to detail, with a focus on data quality, controls, and operational reliability
  • Ability to document processes and requirements and work effectively with business and technology stakeholders
  • Strong organization, written communication, and time-management skills
  • Self-directed, conscientious, collaborative, intellectually curious, and committed to high-quality work
  • Willingness to participate in rotational after-hours support when needed
  • GMO will not provide visa sponsorship for this opportunity

Артықшылықтар

  • Discretionary annual bonus
  • Medical insurance
  • Dental insurance
  • Life insurance
  • Long-term disability coverage
  • 401(k) and profit-sharing retirement plan
  • Open paid time off
  • Leave of absence programs
  • Dependent care resources
  • Tuition reimbursement
  • Charitable gift matching
  • Flexible spending accounts
  • Commuter benefits

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