Job Description Summary 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 Investments organization manages a diverse asset portfolio of ~$45B to support reinsurance obligations. The Investment Data Manager 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. This role can be remote anywhere in US. Job Description 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.The salary range for this position is $127,500 – $170,000. The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. [If applicable] In addition, this position is eligible for a performance bonus/variable incentive plan. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more. Required Qualifications Bachelor’s degree, preferably in a quantitative field such as Finance, Economics, Statistics, Mathematics, or equivalent 5+ years of relevant experience; 2+ years of experience in the insurance industry, asset management, investment analytics, financial systems and process design and/or market/investment risk 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 Working understanding of financial markets and instruments, including security reference data, attributes, and risk analytics, particularly for fixed income securities Advanced technical skills, including proficiency working with large data sets and using Microsoft Office Suite Working proficiency with Python and/or one or more additional programming languages (e.g., SQL, VBA, R, etc.) Desired Characteristics Master’s degree or higher, preferably in a quantitative field such as Finance, Economics, Statistics, Mathematics, or equivalent CFA or progress towards a CFA designation is a plus Familiarity with designing efficient business processes and related tools to optimize workflows, reduce manual effort, and mitigate potential errors An ability to work independently, handle numerous assignments concurrently, and consistently be a self-starter that excels at meeting and exceeding professional goals Quick learner with a proactive and positive can-do-attitude Self-motivated and a strong desire to continue learning about financial markets and instruments Additional Information GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No #LI-Remote – This is a remote position
VBA data-integrity data-management Python R Microsoft Office Big data validation data governance data-integration SQL business-process-management Process building