Venerable

Associate Actuary

Venerable  •  West Chester, PA (Onsite)  •  2 months ago
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Job Description

This new role will have primary responsibility for Variable Annuity model validation and transaction review projects, both offering opportunities to work across the Finance organization, Corporate Development function, and external Actuarial service providers. The role reports to the overall lead of the model validation projects, within the Capital Management and Modeling team in the Finance function. Involvement in transaction review projects primarily includes modeling due diligence.

Primary responsibilities will include:

  • Perform detailed review of the Variable Annuity actuarial models, including the reviewing modeling of product features, assumptions, and scenarios in partnership with external actuarial outsourcing services provider.

  • Validate annual assumption/model changes made to the model

  • Perform User Acceptance Testing (UAT) on key metrics as well as perform detailed Unit Testing on policy basis to validate changes are implemented as intended with explanation for the observed impacts.

  • Complete documentation of modeling changes and testing performed for audit trails and the approval process under the model risk framework.

  • Summarize and present findings digestible by senior audience.

  • Review work by other junior members on model validation projects. Manage day to day delegation and communication.

  • Identify and address potential modeling improvements including implementation of any best practices in the model set up.

  • Support the review of products / data, actuarial assumptions, and modeling methodologies for any future transaction and company initiatives with a particular emphasis on ensuring correct interpretation of product features and modeling. Work may include support transaction due diligence and involves interaction with Corporate Development and external parties.

  • Contribute to ad-hoc projects such as changes pertaining to statutory regulatory reserve and capital requirements, tax reforms, GAAP LDTI etc. and other overall Capital Management and Modeling team related initiatives, such as methodology changes model improvement.

  • Opportunities for further learning and use of programming languages and tools such as VBA, R, Python, Power BI, to effectively summarize data for technical analysis.

Key Required Qualifications:

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

  • ASA or newly credentialed FSA

  • 5-6+ years financial, insurance industry, or actuarial experience

  • Prior experience with variable annuity products, modeling, hedging, and / or valuation preferred

  • Prior consulting and/or related M&A experience is strongly preferred

  • Excellent technical skills: Excel, databases, actuarial projection/valuation software, programming (e.g. R, Python, VBA, SQL)

  • Strong analytical skills or advanced knowledge of actuarial concepts; ability to use this knowledge to lead/develop solutions to ad-hoc requests or issues

  • Solid understanding of insurance products, regulations, or insurance company structure from prior experience in roles such as pricing, modeling, valuation, risk management, inforce management, experience studies, hedging

  • Detail oriented and strong analytical problem-solving skills to make informed decisions

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Venerable Values:

Every position at Venerable has responsibility for living out the company's values as described here:

We are Courageous - We think critically, ask "why?" and seek out creative solutions.

We are Curious - We take calculated risks, learn from out 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.

Venerable

About Venerable

Venerable is a privately held company with business operations based in West Chester, Pennsylvania and Des Moines, Iowa. Venerable owns and manages legacy variable annuity business acquired from other entities. Created by an investor group led by affiliates of Apollo Global Management, LLC, Crestview Partners, Reverence Capital Partners, and Athene Holdings, Ltd., Venerable is a business with well-established, strategic investors, experienced in successfully building and growing insurance businesses with patient, long-term capital.

Growth through acquisition is long storied at Venerable. While we have the nimbleness and flexibility of a start-up, our beginnings are a result of a series of small business ventures by ING Group, who later evolved to Voya Financial, and which began nearly five decades ago. We are led by a highly trusted and experienced team, a significant portion of whom transitioned from Voya at the time of the transaction. With unparalleled knowledge and expertise, the organization remains primed to carry on the tradition of growth.

From day one, leaders at Venerable have prioritized the employee experience by focusing on a strong culture. One where employees feel highly engaged, are encouraged to offer feedback often, are supported by a strong management structure, and can collaborate with colleagues without roadblocks. Opportunity awaits for individuals who think critically, ask why, and seek out creative solutions.

Industry
Finance & Insurance
Company Size
201-500 employees
Headquarters
West Chester, Pennsylvania
Year Founded
2018
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