Lead Insurance Modeling & Risk Analytics

Aegon; United States; Hybrid; USD 136,000 - 165,000; Full time

Benefits offered by this job

Hybrid work arrangement

Locations: Denver, Cedar Rapids, and B

Office environment

Job summary

Aegon in the United States seeks an experienced quantitative modeler to build and analyze sophisticated actuarial, financial, and portfolio models. You will leverage actuarial science, statistics, data science and balance sheet modeling to develop, test and validate risk-adjusted models for various functions within the company.

The role requires leadership across projects, collaboration with risk, valuation and reporting teams, and the ability to apply advanced programming and modeling

Qualifications

• Bachelor’s degree in a technical/quantitative discipline such as statistics, math, actuarial science, computer science, economics, or engineering.
• Eight years of modeling experience (or six with Master’s) with expert knowledge in insurance/asset modeling or ML/AI.
• Five years of advanced programming or actuarial systems customization experience.
• Familiarity with asset liability management practices and finance concepts.

Responsibilities

• Lead modeling activities on insurance liabilities, fixed-income assets and derivatives.
• Model and quantify risks including equity and interest rate sensitivities and cash flow variability.
• Collaborate with risk management, valuation, and reporting teams.
• Apply and integrate statistical, mathematical, predictive modeling and data analysis skills.

Skills

Leadership

Statistical modeling

Data analysis

Quantitative reasoning

Education

Bachelor’s degree in a technical/quantitative discipline

Advanced degree (preferred)

Tools

Python

C++

VBA

SQL

Job description

Aegon in the United States seeks an experienced quantitative modeler to build and analyze sophisticated actuarial, financial, and portfolio models. You will leverage actuarial science, statistics, data science and balance sheet modeling to develop, test and validate risk-adjusted models for various functions within the company.

The role requires leadership across projects, collaboration with risk, valuation and reporting teams, and the ability to apply advanced programming and modeling