Prudential Ins Co of America Director, Actuarial Enterprise Data Architect in Newark, New Jersey
This position is a newly created position in the Enterprise Capabilities Enterprise Architecture team and reports to VP & Actuary.
Data has been input for model and assumption and thus was excluded from inventorying and managing through an enterprise-actuarial strategy and governance, and data process and issues are compartmentalized by BU, platform or use.
The new position was created to build an actuarial enterprise strategy for data across business units and functions. This individual will drive and develop the key strategic vision, strategy, framework, and documentation for data management and the underlying data architecture and lead or coordinate implementation solutions, which will enable data analytics. This role will provide opportunities to work with various actuarial function teams, CIO, Risk, Finance and Global Technology data leads for data, technology and data science.
Key responsibilities include:
Lead actuarial data involved projects in actuarial or FM initiatives
Support the new Financial Management Data and Analytics initiative by managing proof of concepts, performing cross-functional analyses and proposing strategic solutions
Create a cross-functional and business-unit data specialist community
Analyze types, locations and magnitude of data issues faced by actuarial function teams (such as assumption, valuation, pricing, and modeling)
Prepare data catalogue to be able to articulate and create metadata or data dictionary for immediate actuarial needs
Co-analyze excessive use of Excel EUCS for data staging and aggregation summary
Build and communicate actuarial data strategy liaising with CDO, AFT, and BU valuation
Lead implementing the data storage, data quality, data sharing, data analytics and use solution across actuarial functions
Familiarity and experience of Prudential data is desired
Awareness of actuarial data, tool and process
Experience with databases, ETL, SQL, EUCS, SOX/MAR, and modeling
Experience or acute interest in data science and Python-like tool
Experience of actuarial valuation or assumption is desired
ASA/FSA would be an asset.
Strategic and logical to be able to connect dots and propose a solution
Ability to understand complex quantitative concepts and models in details
Good in written and verbal communication including presentations
Ability to work in a team environment and to build rapport with other teams
Ability to manage multiple priorities and deliverables
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is a multinational financial services leader with operations in the United States, Asia, Europe, and Latin America. Leveraging its heritage of life insurance and asset management expertise, Prudential is focused on helping individual and institutional customers grow and protect their wealth. The company's well-known Rock symbol is an icon of strength, stability, expertise and innovation that has stood the test of time. Prudential's businesses offer a variety of products and services, including life insurance, annuities, retirement-related services, mutual funds, asset management, and real estate services.
We recognize that our strength and success are directly linked to the quality and skills of our diverse associates. We are proud to be a place where talented people who want to make a difference can grow as professionals, leaders, and as individuals. Visit www.prudential.com to learn more about our values, our history and our brand.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status , medical condition or any other characteristic protected by law.
The Prudential Insurance Company of America, Newark, NJ and its affiliates.
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