Note: The job is a remote job and is open to candidates in USA. Aegon is a company focused on enhancing risk-adjusted returns through sophisticated modeling for insurance products and investments. The Int Actuary Analyst will build and analyze models, collaborate with stakeholders, and apply advanced actuarial and statistical techniques to manage complex data and assess risks.
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
- Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources
- 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
Skills
- 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
- Three years of modeling experience (or one with Master's degree) and knowledge of 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 them in solving analytical problems
- Advanced degree
- Insurance or asset/derivatives modeling experience
- Actuarial Science background
- Experience with database design and usage
- Programming experience in C++/C#/Python or other advanced language
- MoSes/AXIS/ALFA or other actuarial software
- QRM or similar asset liability software experience
- SAS, R, SPSS or other statistical software experience
Benefits
- Annual Bonus of 10% based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion
- This is a hybrid position requiring three days (Tuesday-Thursday) in office per week in one of our hub locations (Cedar Rapids, Baltimore, Philadelphia, or Denver)
Company Overview