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 Enterprise Risk Management (ERM) team is responsible for management, monitoring, reporting and oversight of risk on an enterprise level. The agile structure of the ERM team allows individuals to gain exposure to different functional areas and develop a broad understanding of risks to which the company is exposed and which the company must navigate.
This position will be responsible for supporting research and development of leading-edge quantitative risk models and practices. In this role you will work collaboratively with different functional areas of the organization touching on all aspects of investment, market, and capital risk. The position will require the right mix of technical and communication skills alongside significant interaction and partnership expected with key areas such as Inforce Projections, Valuation, Pricing, ALM, Investments and Finance.
Key Responsibilities:
Expand and enhance processes and models for the efficient measurement and monitoring of investment, market, and capital risk.
Research and leverage AI to build advanced analytical techniques to examine and derive risk insights, metrics, and attribution.
Expand understanding of the company’s financials under different accounting and capital regimes, product mixes, and investment strategies.
Develop and enhance processes to support risk reporting on the company’s Strategic Risk Appetite.
Produce thoughtful, accurate analysis to support all strategic and tactical Enterprise initiatives, including large-scale portfolio trades, M&A, reinsurance, strategic business partnerships, stress-testing, and quantitative model reviews.
Work with Inforce Projections, Valuation, Pricing, ALM, Investments and Finance teams on any relevant projects.
Qualifications:
Undergraduate degree in quantitative business discipline such as finance, economics, or accounting
2-4 years’ experience in financial services is required; insurance preferred
Understanding of asset-liability matching principles
Understanding of risk/return relationships of fixed income asset classes and how economic indicators such as inflation and interest rates impact such assets
Strong analytical and critical‑thinking skills with the ability to work with large and complex data sets
Knowledge of accounting principles and financial statements both in reported financials and projection models
Strong problem-solving skills and the ability to explain results, both oral and written
Advanced Microsoft Excel proficiency, including complex formulas, pivot tables and data analysis