Adam Leventhal

1. Led a team of 3-4 developers/actuaries to improve actuarial models and processes for producing Retirement Strategies Institutional Liabilities.

2. Lead developer of CashFlowModel used to project liabilities for $20B+ of New Business annually. Notable achievements include large upgrade to C# language version enabling cloud capabilities and coding out VM22 requirements.

3. Led the development and integration of the GOES Stochastic Scenarios into the Institutional Retirement PRT PBR Pricing model process.

4. Led numerous process improvements converting Excel EUCs into python-based web apps on Tardis. Most notable applications: Marital Assumption Tool, Scalar Equivalence Tool, CashFlowAutomation. In total reduced 2 weeks per UKL quote.

5. Early adopter of new tools such as Tardis2, HPC, GitHub, serving as a leader for the team in transforming and scaling processes.

1. Designed end-to-end SQL Server infrastructure for process improvement of PRT/LRT base mortality review, resulting in increased controls and 40+ week reduction FTE

2. Supported the build of a python based A/E calculation used in 2Q assumption development.

3. Led assumption development for PRT/LRT/Structured Settlement Base Mortality and Mortality Improvement.

4. Leveraged python/SQL and industry study to update 5+ year old SSA mortality tables.

1. Developed process improvements that provided impetus for the UKL Pricing team to transition data management from excel into SQL Server

2. Designed database for UKL Pricing team to store pensioner data to feed downstream processes helping to enable automations

3. Performed underwriting and pricing on UKL deals with liabilities over $1B Developed a strong understanding of the UW process and the various tools used to evaluate underlying risks of the product