ALM Modeler: Risk Analytics for Insurance Portfolios

Transamerica; Philadelphia (Philadelphia County); Hybrid; USD 73,000 - 80,000; Full time

Job summary

Transamerica is seeking a Modeler - ALM Modeling to build and analyze sophisticated models for insurance products, investments and portfolios. You will apply actuarial, financial, and data science techniques to develop, test and validate models across the company.

The role combines quantitative analysis with risk management, requiring strong programming skills and a collaborative, hybrid work environment in a leading financial services organization.

Qualifications

• Bachelor’s degree in a technical/quantitative discipline.
• Exposure to at least one area product such as insurance liability, asset valuation, derivatives modeling, liquidity management, ML/AI.
• Good understanding of investment and finance concepts and ability to apply them to analytical problems.

Responsibilities

• Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
• Embrace new technologies to improve workflows.
• Build external or embedded controls to mitigate operating risks in workflows.
• Apply risk management techniques and procedures, including the company's mandated risk methodologies.
• Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes.
• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.

Skills

Modeling

Risk analysis

Data analysis

Education

Bachelor’s degree in a technical/quantitative discipline

Tools

C++/C#/Python

Job description

Transamerica is seeking a Modeler - ALM Modeling to build and analyze sophisticated models for insurance products, investments and portfolios. You will apply actuarial, financial, and data science techniques to develop, test and validate models across the company.

The role combines quantitative analysis with risk management, requiring strong programming skills and a collaborative, hybrid work environment in a leading financial services organization.