Director - Predictive Analytics - Prudential - Roseland

Job description
Prudential Financial, Inc. is seeking a Director, Predictive Analytics for the newly established Predictive Analytics area of the actuarial team supporting the Company’s Group Insurance business. Prudential's Group Insurance is a leading employee benefit provider with annual premiums approaching $5 billion, and is an integral part of the Prudential’s US operation. The Predictive Analytics team is a newly established team; therefore the successful candidate must possess strong initiative, entrepreneurial spirit, innovation and sound judgment.


The Director, Predictive Analytics will be responsible for data research, predictive modeling, and analytics in support of pricing, risk selection, and other areas of group life and disability insurance products for this newly established Pricing Analytics team. He/she must possess a thorough knowledge of SAS, SQL, Access or other data management applications, and be able to work closely with team programmers to identify, extract, manipulate and clean appropriate data to be used in predictive analytics initiatives. He/she must have a proven track record of having built and/or refined predictive models, with a thorough understanding of GLMs, GL(M)Ms, CART and/or other multivariate modeling techniques, including sound judgment to select the most appropriate input data, modeling method, indicated variables, and techniques.

The incumbent must possess strong interpersonal and communication skills (both written and verbal) and be able to seamlessly collaborate with other members of the team and across functions. The successful candidate must demonstrate attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines.

This position will report to the Vice President & Actuary, Predictive Analytics, Group Insurance and can be located in Roseland, New Jersey.

Desired Skills and Experience
Bachelor’s degree in quantitative discipline (i.e., mathematics, statistics, actuarial science) is required·

Actuarial designation (FSA, FCAS, ASA, ACAS) or advanced degree preferred

Minimum of two years hands-on experience building predictive models in the financial and insurance industry; minimum 7-10 years relevant experience overall

Experience modeling in the P&C insurance space is a plus

Superior technical expertise in predictive modeling; ability to learn new modeling software quickly

Excellent communication skills, both written and verbal

Highly motivated and creative problem solver; able to self-initiate and thrive in a fast-based, results-oriented environment; positive attitude

Ability to convey sense of urgency and to work productively and cooperatively

Collaborative and team-oriented; ability to lead and train others in modeling techniques (both how and why)

Market exposure in group benefits is a plus but not required; predictive modeling for insurance applications preferred.

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