Equitable is seeking a creative, highly motivated and detail-oriented Actuarial/Quantitative Analyst to join the Actuarial Hedging team to lead the GMxB annuity liability valuation and reporting, and support the design, development and testing of hedge models and strategies.
Requirements
- Coding experience in C/C++, Python, MATLAB or similar programming language.
- Statistics and Actuarial Modeling: Knowledge of statistical and actuarial modeling tools and techniques; ability to apply modeling processes and techniques to facilitate risk management decisions.
- Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs.
Responsibilities
- Leads efforts in actuarial hedging and liability valuation using actuarial software and reporting tools.
- Drives continuous improvement in processes and tools.
- Monitors P&L attribution and performance measurement and hedge effectiveness.
- Assists in the design, development, and testing of hedge strategies aimed at optimizing P&L of hedged guarantees utilizing standard and exotic capital markets instruments.
- Assists in the development, testing and implementation of actuarial hedging models.
- Develops documentation for analysis, reporting, internal control and external auditing purposes.
- Collaborates across various functional teams in the Finance organization.
Other
- In Office Schedule: This role will work in office 2 to 3 days per week.
- Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
- Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience.
- Financial Risk Management: Knowledge of tools, techniques, and strategies applied in financial risk management; ability to quantify, qualify, and manage financial risk.
- Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
