The work we do has an impact on millions of lives, and you can be a part of it.
We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.
The Derivative Analyst II or Sr. Analyst plays a key role on the Derivatives team, supporting portfolio management and risk management for insurance liabilities. This position is ideal for a quantitatively minded professional with strong capital markets and technical skills who is interested in building, maintaining, and improving derivative hedging models and systems. The role offers exposure to senior leadership, hands-on analytical responsibility, and the opportunity to grow into direct portfolio ownership over time.
Key Responsibilities
Support derivative hedging programs across variable annuity (VA), fixed indexed annuity (FIA), and other insurance products.
Develop expertise in derivatives capital markets, including the design and execution of hedging strategies.
Build, modify, and maintain models and systems used for portfolio management and risk management.
Collaborate with Derivatives, IT, Risk, and Middle Office teams to ensure effective system design and operation.
Perform ad hoc research and analysis in support of hedging and portfolio decisions.
Provide data, analysis, and reporting to internal stakeholders as needed.
Interpret internal and external issues and recommend solutions or best practices.
Communicate analysis and results to senior staff and leadership.
Participate in training, professional development, and ongoing learning related to derivatives, capital markets, and technology.
Contribute to project-based work supporting enhancements to models, systems, and processes.
Core Competencies
Derivatives & Capital Markets Analysis
Foundational understanding of derivatives, capital markets, and hedging strategies
Ability to support the design, execution, and monitoring of derivative hedging programs
Understanding of the interaction between market risk, insurance liabilities, and portfolio outcomes
Financial Modeling & Quantitative Analytics
Experience working with financial, quantitative, or actuarial models
Ability to run, interpret, and troubleshoot models supporting portfolio and risk management
Experience performing scenario, sensitivity, and ad hoc analysis to support decision-making
Portfolio & Hedging Program Support
Support ongoing hedging programs across multiple products, including VA and FIA
Ability to provide timely data, analysis, and reporting to Risk, Middle Office, and other partners
Comfort supporting day-to-day portfolio management activities and special projects
Technology, Tools & Systems
Experience working within a modeling or analytics technology stack
Coding experience with Python and SQL preferred; exposure to C++, C#, R, or similar languages a plus
Ability to maintain and enhance systems used for portfolio management and hedging operations
Communication & Collaboration
Clear written and verbal communication skills
Ability to communicate complex analytical results to senior leaders and key stakeholders
Comfortable collaborating across teams including Derivatives, IT, Risk, and Middle Office
Professional Effectiveness
Strong analytical thinking, attention to detail, and sound judgment
Ability to manage shifting priorities in a fast-paced, team-oriented environment
Intellectual curiosity, willingness to learn, and proactive approach to problem solving
Minimum Qualifications:
Bachelor’s degree in a quantitative or technical discipline such as finance, mathematics, engineering, actuarial science, computer science, or a related field.
4 years cumulative work experience, including relevant internships.
Experience with analytics or modeling, preferably in a financial, derivatives, quantitative, or actuarial context.
Demonstrated interest in capital markets and risk management.
Strong communication skills and a collaborative working style.
Ability to work in an in-office environment.
Preferred Qualifications
Advanced degree (MS, MBA, etc).
Experience with asset management, capital markets, or derivatives modeling.
Actuarial science background or actuarial designation.
Understanding of fixed income securities, derivatives, insurance liabilities, and risk management.
Coding experience, preferably in Python and SQL; experience with C++, C#, R, or similar languages is highly preferred.
Experience working with or supporting senior leadership.
Interest in progressing toward portfolio ownership and broader investment responsibility over time.