Associate, Market Risk

Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry.   Click here for more information about Fortitude Re.

The Market Risk Associate supports Fortitude Re’s Market Risk function within Enterprise Risk Management by performing analysis and monitoring related to asset-liability management (ALM), liquidity risk, market risk, stress testing, and economic capital. Reporting to the VP, Market Risk, the role works with colleagues across Investments, Actuarial, Finance, and Treasury to analyze balance sheet and investment portfolio risk, maintain risk analytics and reporting, and support ongoing risk management activities. 

What You Will Do: 

• Monitor and analyze asset-liability alignment, including duration, convexity, and cash flow matching, in coordination with Investments, Actuarial, Finance, and Treasury. 

• Perform stress testing, scenario analysis, and sensitivity testing using established methodologies to assess portfolio and balance sheet exposures under changing market and liquidity conditions. 

• Support economic capital analysis and reporting, including maintaining analytical inputs and assisting with ongoing enhancements to risk measurement approaches. 

• Analyze interest rate, credit spread, equity, and liquidity risk exposures across the investment portfolio and balance sheet and communicate findings to internal stakeholders. 

• Develop and maintain quantitative analyses, models, and tools using programming and data analysis techniques to support risk measurement and reporting. 

• Prepare risk reports, dashboards, and presentations summarizing market, ALM, and liquidity risk exposures for management and governance activities. 

• Monitor relevant market developments, risk trends, and regulatory requirements and support analysis of their potential implications for the firm's risk profile. 

• Support cross-functional risk management activities, including internal audits, regulatory examinations, and other reviews related to portfolio and balance sheet risk. 

What You Will Have: 

• Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Engineering, Actuarial Science, or a related quantitative discipline, or equivalent relevant experience. 

• Graduate degree in Financial Engineering, Quantitative Finance, Actuarial Science, or a related discipline preferred. 

• Relevant experience in market risk, asset-liability management, investments, actuarial analysis, financial risk, or a related quantitative field. 

• Knowledge of market risk and asset-liability management concepts, including interest rate risk, credit spread risk, liquidity risk, duration, convexity, and cash flow analysis. 

• Experience performing quantitative analysis, including stress testing, scenario analysis, financial modeling, or other risk analytics. 

• Proficiency with data analysis and programming tools such as Python, R, or SQL, along with strong Excel skills. 

• Strong analytical and problem-solving skills, with the ability to interpret quantitative results and communicate findings clearly to technical and non-technical stakeholders. 

• Ability to thrive in a fast-paced, dynamic environment, with a growth mindset and willingness to learn, adapt to evolving priorities, and leverage emerging technologies, including AI, to improve efficiency, analysis, and ways of working.