GMO
GMO
GMO एक वैश्विक निवेश प्रबंधन फर्म है, जो संस्थागत निवेशकों, फैमिली ऑफिसों, सलाहकारों, मध्यस्थों और वेल्थ मैनेजरों को सेवाएँ प्रदान करती है। इसका काम बहु-परिसंपत्ति रणनीतियों, इक्विटी, वैकल्पिक निवेश, निश्चित आय और निजी फंडों तक फैला है, जिन्हें निवेश अनुसंधान तथा बाज़ार संबंधी अध्ययनों और अपडेट की विस्तृत सामग्री का समर्थन प्राप्त है। GMO ESG-केंद्रित निवेश दृष्टिकोण भी विकसित करती है, जिनमें दीर्घकालिक आर्थिक बदलावों, जैसे कम-कार्बन अर्थव्यवस्थाओं की ओर संक्रमण, को ध्यान में रखा जाता है। जेरेमी ग्रान्थम द्वारा स्थापित यह फर्म अनुसंधान-आधारित पोर्टफोलियो प्रबंधन को दुनिया भर के ग्राहकों के लिए वित्तीय समाधानों के साथ जोड़ती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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