AVP Asset Risk & Analytics

As our AVP of Asset Risk & Analytics, you will contribute to and support risk management of the General Account investment portfolios of Venerable. This includes understanding all aspects of the investment portfolio, analyzing investment strategies, advising and interfacing with internal and external parties which includes external Investment Managers, external modeling and analytics providers as well as internal Venerable Investment, Risk and Finance functions, Actuarial teams, and Venerable senior management.

You will have responsibility for modeling, monitoring, and reporting on Venerable’s general account asset and investment risks encompassing liquidity, capital, and earnings / economic.

• Lead the asset risk and analytics function at Venerable, including hiring, managing, and developing a team of investment, actuarial, and quantitative professionals.
• Oversee asset risk management in Venerable’s general account portfolios.
• Support the development, production, maintenance, and enhancement of general account asset portfolio analytics and risk reporting.
• Develop, implement, and maintain investment and asset risk assumptions, scenarios, and stress tests.
• Oversee general account asset modeling for existing and reinvestment assets.
• Develop, implement, and maintain investment risk framework for general account portfolios.
• Develop and enhance management of risk exposures of the investment portfolios, measuring, monitoring, and analyzing investment risk exposures.
• Perform risk stress analysis and analyze potential hedging strategies and their integration with the larger investment strategy.
• Support and enhance Venerable’s Liquidity Management by establishing a comprehensive liquidity management framework.
• Research and develop methodologies and models to quantify, assess, and monitor market and financial risks with a focus on liquidity, capital, and earnings/economic value.
• Develop and utilize code libraries for portfolio optimization, investment strategy research, statistics, optimization problems, analytics, and attribution.
• Apply scalable technology to support Investment Management, Risk, and Finance departments.
• Support comprehensive investment and risk reporting to senior management and investors.
• Communicate and explain investment analytics and stress‑test results and components of reported risk metrics.
• Provide clear direction and ownership of asset modeling assumptions used in actuarial projection models.
• Contribute to partnership with Risk Management to analyze risk, ALM, and hedging strategies for specific liability types and their integration within Venerable’s investment and hedging strategies.
• Own bespoke business systems and models.
• Maintain understanding of product liability structures and manage investment portfolios to meet any asset/liability management needs.
• Provide input to investment assumptions that support actuarial projection models.
• Manage large data sets, organize data, and support database optimization in partnership with the Investment Data Strategy and Management team.
• Maintain knowledge about industry/peer activities and trends in investment portfolios and understand implications for Venerable.

• Minimum 7 years of progressive experience in a highly technical quantitative field (Mathematics, Computer Science, Finance, Actuarial Science, Investments, Research) with an orientation toward investment risk and analysis.
• Advanced education, CFA, ASA, FSA, or Ph.D. in a quantitative discipline.
• Demonstrated knowledge of insurance company portfolio management, asset‑liability management, hedging, and derivatives.
• Significant relevant investment, actuarial, programming, and/or modeling experience.
• Advanced knowledge of fixed‑income investment products, capital markets, asset modeling, and risk management.
• Knowledge of VA product features and embedded optionality.
• Strong knowledge of systems design and development principles (OOP, abstraction, modularity, reusability, etc.).
• Demonstrated ability to lead a diverse team of professionals.
• Strong quantitative and analytical reasoning and problem‑solving abilities.
• Ability to conceptualize and implement novel ideas based…