Senior Modeler - Analytics and UAT Testing

Job Family

Treasury, Capital Management and Asset Liability Management

About Us 

 

At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential unleashed by leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests.  

 

Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment — one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there. 

    

Transamerica is a part of Aegon, an integrated, diversified, international financial services group. The Aegon companies employ over 21,500 people and have approximately 31.7 million customers.* For more information,  visit www.transamerica.com. 

 

Who We Are 

  

Transamerica has been making financial services available to the many, not just the few, for more than 100 years. We’re a leading provider of life insurance, retirement, and investment solutions, serving millions of customers throughout the United States. Transamerica’s dedicated professionals focus on helping people live their best lives through saving, investing, and protecting their loved ones. Transamerica is dedicated to building America’s leading middle market life insurance and retirement company, providing a broad range of quality individual life insurance policies, workplace supplemental insurance benefits, workplace retirement plans, individual retirement accounts, and investment products, including mutual funds, annuities, stable value solutions, as well as investment management services. 

 

What We Do 

 

Transamerica is organized by lines of business (Life Insurance, Annuities, Mutual Funds, Retirement Plans, and Employee Benefits), which are supported by Transamerica Corporate (Corporate Development; Finance; Internal Audit; Legislative, Regulatory & Policy; Office of the CEO; People and Places; Brand; Corporate Affairs; Risk; and Technology). 

Job Description Summary

The Senior Modeler - Analytics & UAT Testing will build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. This person will leverage advanced knowledge of actuarial, financial, statistical, data science and modeling analytics to develop, test and validate models for various functions within the company.  

Job Description

Responsibilities

• Support modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS/ALFA/MoSes.
• Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks.
• Collaborate with key stakeholders from business line valuation, ALM, risk management, and financial/risk reporting etc.
• 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.
• May serve as a company-wide expert in at least one specialty.
• May serve as a resource for colleagues with less experience
• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
• May work on advanced research projects.
• Interpret internal or external issues and recommend solutions/best practices.
• Solve complex problems; take a broad perspective to identify solutions.
• Build efficient models and processes with minimal guidance.
• Apply judgment to modeling choices in a defensible manner.
• Assess the materiality of various modeling and data choices.

Qualifications

• Bachelor’s degree in a technical/quantitative discipline such as statistics, math, actuarial science, computer science, economics, engineering, or a related business field such as finance
• Five years of modeling experience (or three with Master's degree) with expert knowledge in at least one product such as insurance liability, asset valuation, derivatives modeling, liquidity management, machine learning or artificial intelligence
• Good understanding of investment and finance concepts, and the ability to creatively apply