Actuary

Senior Actuarial Analyst — Summit Life Insurance

Charlotte, NC | January 2024 – Present

• Developed and maintained predictive cash-flow models using Prophet for a $1.4B life insurance portfolio, increasing pricing accuracy by 15% and reducing variance between projected and actual claims to less than 2%.
• Automated data extraction and transformation procedures from SQL databases, reducing the monthly reserve valuation cycle from 6 days to 4 days, saving 16 hours of staff effort per run.
• Collaborated with the underwriting team to reprice 3 core term life products, which improved the embedded value of new business by 12% over 12 months while staying compliant with NAIC guidelines.
• Re-engineered the asset-liability matching framework for annuity products, reducing duration mismatch by 18% and optimizing investment yields by $450,000 annually.

Actuarial Analyst — Blue Ridge Mutual

Atlanta, GA | June 2021 – December 2023

• Constructed experience study databases in SAS to analyze mortality trends across 400,000 policyholders, identifying a risk segment that improved pricing assumptions by 8%.
• Assisted in quarterly financial reporting and reserve testing under US GAAP and statutory frameworks, verifying model inputs for policies representing $650M in liabilities with a 0% error rate.
• Created dynamic Tableau dashboards using SQL backend queries to visualize monthly actuarial gains and losses, decreasing executive report preparation time by 25% and accelerating strategic decisions.
• Conducted sensitivity testing on 15 financial scenarios using Excel VBA to evaluate interest rate risk, presenting findings that guided a 5% shift in asset allocation.

Financial modeling, Valuation, Life insurance pricing, Asset-liability management (ALM), Experience studies, Prophet, SAS, SQL, Python, Excel VBA, Tableau, GAAP reporting, Statutory accounting, Risk management

Annuity Model Conversion

Role: Lead Actuarial Developer

Tools: Prophet, SQL Server, Excel VBA

Directed the migration of 12 legacy annuity projection models into Prophet, reducing quarterly valuation processing time by 30% and reducing reconciliation discrepancies by 95%.

Mortality Experience Study

Role: Actuarial Analyst

Tools: SAS, Python, Tableau

Analyzed 10 years of historical policyholder mortality data across a $2B portfolio, producing risk models that adjusted pricing assumptions to save $320,000 in annual claim payouts.

• Associate of the Society of Actuaries (ASA) (2023)
• Chartered Enterprise Risk Analyst (CERA) (2024)

• Languages: English (Native), French (Conversational)
• Professional Affiliations: Member of the American Academy of Actuaries (MAAA)
• Availability: 2 weeks notice