Associate Actuary-Assumptions

Venerable; Philadelphia (Philadelphia County); On-site; USD 120,000 - 160,000; Full time

Job summary

Venerable in Philadelphia seeks an Associate Actuary to develop and monitor variable annuity assumptions, including lapse, mortality, and payout patterns, and to influence modeling and reporting processes.

Ideal candidates have ASA or FSA, 5–6+ years in actuarial roles, strong SQL, Excel, Python or R, and proven ability to communicate complex analyses to senior leadership.

Qualifications

• 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 data patterns.
• Excellent computer skills: Excel, SQL Server, PowerBI, R or Python.

Responsibilities

• Analyze and interpret policyholder experience data to identify trends and drivers.
• Apply actuarial judgment to develop assumptions for financial reporting and planning.
• Lead analyses and present recommendations to senior management.
• Collaborate with IT and vendors to transform assumption-setting processes.
• Support audits and respond to regulators' questions.
• Ensure data accuracy and controls in experience studies.
• Work with modeling team to implement recommended assumptions.

Skills

Actuarial analysis

Data interpretation

SQL

Python/R

Excel

Communication skills

Cross-functional collaboration

Education

Bachelor’s degree in Mathematics, Actuarial Science, Finance or related business discipline

Tools

SQL Server

Power BI

Python

R

Excel

Job description

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.

Primary responsibilities include:

• 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.
• 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
• 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

Key Qualifications:

• 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

Note: Eligible candidates are required to hold immediate, legal U.S. work authorization without the need for current or future visa sponsorship.

#greaterphiladelphia

Venerable Values:

• We are Courageous - We think critically, ask "why?" and seek out creative solutions.
• We are Curious - We take calculated risks, learn from our failures, and challenge traditional ways of thinking.
• We are Connected - We are connected to each other, our customers and our community.

Please note: The use of AI tools (such as ChatGPT or similar platforms) during interviews is not permitted without the prior approval of Venerable, as the use of such tools may interfere with company confidentiality, misrepresent a candidate’s skills and experience or otherwise conflict with Venerable’s hiring policies. If you are selected for an interview and a reasonable accommodation is needed, please notify the Venerable Human Resources recruiter aligned to the open position in which you are interviewing for.

If Venerable, in its sole discretion, determines that AI is being used during an interview without prior approval, Venerable reserves the right to end the interview early and/or disqualify a candidate.