Karan Vora

Inquisitive and methodical, with a strong grounding in mathematics and a genuine interest in modelling and risk. I am most engaged when validating results, understanding assumptions and working out what is driving a movement in the numbers. I take a careful, structured approach to my work and look for ways to make processes simpler and more efficient.

Focused on delivering accurate and well reasoned work for clients and stakeholders, with an emphasis on analytical rigour and sound judgement. I am keen to broaden my exposure across different areas of the profession, take on responsibility as I develop and continue progressing towards full qualification.

Actuarial Intern - Milliman

(2023-10 - 2024-05)

• Built and reviewed Excel models for Embedded Value (EV), Value of New Business (VNB) and STAT valuations for three major Indian life insurers: Tata AIA, HDFC Life and ICICI Prudential. Supported quarterly valuation reviews and financial reporting across multiple review cycles as the results of the valuation reviews were presented to the Board of Directors, Stakeholders and Shareholders of the listed companies.
• Reviewed and validated client actuarial models in Prophet, including full book runs involving large numbers of model points. Identified modelling errors, investigated discrepancies in models and raised findings with clients to improve the accuracy of valuations and all future financial projections.
• Developed R code to automate sampling from large policy datasets, reducing the time taken to create samples for model reviews from 120 hours to 2 hours per cycle. This reduced processing time by 98%, lowered client costs and freed up team capacity for other project work.

Actuarial Intern - Milliman

(2025-05 - 2025-08)

• Built and reviewed Excel models for Embedded Value (EV), Value of New Business (VNB) and STAT valuations for three major Indian life insurers: Tata AIA, HDFC Life and ICICI Prudential. Supported quarterly valuation reviews and financial reporting across multiple review cycles as the results of the valuation reviews were presented to the Board of Directors, Stakeholders and Shareholders of the listed companies.
• Reviewed and validated client actuarial models in Prophet, including full book runs involving large numbers of model points. Identified modelling errors, investigated discrepancies in models and raised findings with clients to improve the accuracy of valuations and all future financial projections.
• Developed R code to automate sampling from large policy datasets, reducing the time taken to create samples for model reviews from 120 hours to 2 hours per cycle. This reduced processing time by 98%, lowered client costs and freed up team capacity for other project work.

Actuarial Papers - IFoA

Masters - Actuarial Management - Heriot Watt University, Edinburgh (2025 - 2026)

Bachelors - Actuarial Science - IAQS, Mumbai University (2022 - 2025)

Higher Secondary Certificate - Science - Ruia College, Mumbai (2020 - 2022)

Indian Certificate in Secondary Education - Pawar Public School (2019 - 2020)