GE Aerospace is a world-leading provider of jet and turboprop engines, components and integrated systems for commercial, military, business and general aviation aircraft. At GE Aerospace, we believe the world works better when it flies.

North American Life and Health (NALH) is the reinsurance business unit under GE Aerospace’s Corporate Holdings; primarily focused on Long Term Care (LTC) and Life reinsurance segments. The NALH Investment organization manages a diverse asset portfolio of ~$45B to support reinsurance obligations.

The Senior Investment Data Analyst is a key role within NALH Investment Operations organization, reporting to the Director – Investment Data Strategy & Management. This role will support the overall investment data strategy including design, development and continuous improvement of NALH investment data infrastructure and processes. This role will serve as the subject matter expert on investment data management and involve data integrity, data integration, data reconciliation, data governance, as well as enabling investment and risk analytics reporting across the organization. This role will partner with key external and internal stakeholders to support investment data operations as well as investment data strategic initiatives.

Roles And Responsibilities

• Oversee and monitor data flows to ensure timely receipt of investment data and delivery of production reports from third party sources/vendors and work closely with internal and external partners to address any issues that might arise
• Drive consistency and integrity of investment data by 1) developing and maintaining data definitions and dictionaries and 2) designing and implementing analysis tools to reconcile data obtained from multiple sources and 3) enable periodic/ad hoc data validations and tests of reasonability to ensure accurate, complete and on-time availability of investment data reporting & analytics
• Research and analyze data exceptions, working closely with internal and external partners to resolve issues
• Analyze trends and patterns in observed data exceptions and outliers to improve upon the design and effectiveness of existing processes and recommend and implement additional control processes as appropriate
• Develop and maintain core investment data production reports, analytics and dashboards (including portfolio holdings, weekly transactions, advanced investment metrics etc.) for downstream investment, financial and risk reporting and related processes
• Develop/serve as a subject matter expert in investment data management, providing support for ongoing data operations as well as our investment data strategic initiatives. Provide guidance and technical coaching to other team members as necessary
• Partner with internal stakeholders (including but not limited to: Investment Management, Treasury, Investment Accounting, Finance, Risk) and external partners (e.g., investment data/risk analytics platforms, investment accounting provider, bank custodians, etc.) to support investment-related data activities as necessary

Required Qualifications

• Bachelor’s degree, preferably in a quantitative field such as Finance, Economics, Statistics, Mathematics, or equivalent
• 4+ years of relevant experience; 1+ years of experience in investment analytics, financial systems and process design and/or market/investment risk
• Working understanding of financial markets and instruments, including security reference data and attributes. Familiarity with fixed income reference data and risk analytics preferred.
• Experience working directly with an investment data/risk analytics platform such as Blackrock Aladdin and an investment accounting platform such as Clearwater, including understanding of data transmission and loading, risk production and reporting, and downstream integration.
• Advanced technical skills, including proficiency working with large data sets and using Microsoft Office Suite . Familiarity with one or more programming language is a plus (e.g., SQL, VBA, Python, R, etc.)
• OPEN TO REMOTE IN US

Desired Characteristics

• CFA or progress towards a CFA designation a plus
• Familiarity with designing efficient business processes and related tools to optimize workflows, reduce manual effort, and mitigate potential errors.
• Detail-oriented, with strong analytical, critical thinking, and problem-solving skills
• Quick learner, can-do-attitude, self-starter, strategically prioritizes work