Associate Actuary-Assumptions

Venerable•West Chester, PA

60d

About The Position

As an Associate Actuary, you will play a key role in determining Venerable’s variable annuity assumptions used to model mortality and policyholder behavior. Primary responsibilities will include monitoring experience trends, recommending assumption updates, and presenting recommendations to senior leadership for select deferred and payout variable annuity assumptions as well as playing an integral part in the transformation of Venerable’s assumption setting processes.

Requirements

Bachelor’s degree in Mathematics, Actuarial Science, Finance or related business discipline
ASA, Career ASA or newly credentialed FSA
5-6+ years financial, insurance industry, or actuarial experience
Strong analytical and problem-solving skills with the ability to identify patterns, trends, anomalies, and key drivers within large and complex datasets
Exceptional attention to detail with a proven ability to validate data, reconcile results, investigate anomalies, and ensure the accuracy and reliability of analyses
Excellent computer skills are required: Advanced knowledge of Microsoft Excel, proficient in SQL Server, Microsoft PowerBI, R, or Python, experience with Microsoft PowerPoint is a plus
Advanced knowledge of actuarial concepts; ability to use this knowledge to lead/develop solutions to adhoc requests or issues
Solid understanding of insurance products, regulations, or insurance company structure from prior experience; Prior experience with variable annuity products preferred
Leverages strong oral and written communication skills to readily and effectively collaborate with peers, managers, shares information and asks questions
Ability to manage competing priorities and deadlines
Strong desire to learn and grow
Experience with improving and optimizing processes and reflecting appropriate controls
Ability to work in a cross-functional team environment
Eligible candidates are required to hold immediate, legal U.S. work authorization without the need for current or future visa sponsorship.

Nice To Haves

Types of riders are GMDB, GMIB (Traditional and Hybrid), GMWBL, and GMWB
Assumptions may include, but are not limited to lapse, partial withdrawals, deferred mortality, payout mortality, GMIB annuitizations and GMWB utilization
Experience with Microsoft PowerPoint is a plus
Prior experience with variable annuity products preferred

Responsibilities

Analyze and interpret policyholder experience data to identify emerging trends, behavioral patterns, and key drivers of experience.
Apply actuarial judgment and statistical analysis to develop assumptions used in financial reporting, risk management, and business planning.
Develop and present decks and detailed memorandums seeking assumption proposal approval from senior management.
Contribute to the timely and accurate reporting of mortality and policyholder behavior experience.
Review experience study data for accuracy and completeness and implement additional controls as necessary.
Drive for accuracy, consistency, and improvements within various experience studies.
Take increasing ownership of key deliverables and workstreams, including leading analyses, driving recommendations, and collaborating with stakeholders across the organization.
Ensure that any changes to experience study processes, particularly those in spreadsheets, are incorporated appropriately as transparent and repeatable processes with controls; maintain updated documentation on all processes.
Collaborate with the modeling team to implement recommended assumptions into models.
Support structural, design and process improvements to experience studies through partnering with IT and outside vendors on prioritized transformation projects.
Provide support for internal and external audits, including walkthroughs and responses to questions from auditors/regulators.
Interact and collaborate with highly skilled staff both internally (e.g., IT, Valuation, Finance) and externally (e.g., modeling outsourcing partner).
Support future transactions by performing various analyses related to experience studies.