Aflac

AVP, Quantitative Investment Risk - Asset Liability Management

Aflac

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $100,000 - $210,000 per year

Job Level

Lead

Tech Stack

Python

About the role

  • Participate in Asset Liability Management (ALM) strategy development and associated analytics for investment and investment related activities in Aflac’s subsidiary, Aflac Asset Management LLC (AAMLLC)
  • Collaborate with investment, actuaries and risk functional teams to ensure alignment of investment strategy with liability structures
  • Support Aflac’s global reinsurance strategy
  • Contribute to the development of quantitative risk analytical framework to support ALM strategies
  • Provide advice and support for risk analysis and reporting, hedging strategies, regulatory compliance, cash management and liquidity, optimizing capital allocation strategy(ies)
  • Apply qualitative and quantitative solutions including advanced statistical analytics, risk methodology transitions, model enhancements and stress testing
  • Support economic and regulatory capital modeling and analytics with focus on ALM
  • Participate in presentation of oral and written analyses and concepts, including management recommendations, to senior management
  • Collaborate with Quantitative Analytic Solutions team to support assets, derivatives, and liabilities
  • Collaborate with Global Risk, Japan Investment Risk Management (JIRM), Capital Modeling and Actuarial teams to support enterprise ALM initiatives

Requirements

  • 6+ years of relevant work experience in financial services risk management (preferably life insurance)
  • Master’s degree in quantitative fields such as Financial Engineering, Mathematical Finance, Mathematics, Actuarial Science or a related major is desirable
  • CFA, FRM, Actuarial credentials (ASA or FSA) or similar investment risk management credentials a plus
  • Quantitative and programming skills a must; strong model development experience in programming languages such as Python is a must
  • Experience modeling public and private fixed income asset classes, public and private equity, derivatives and alternatives is desirable
  • Knowledge of statistics and its application to the financial services industry
  • Life insurance actuarial modeling and implementation experience is a plus
  • Understanding asset liability management (ALM), capital management, liquidity management is a plus
  • Strong analytical and critical thinking skills is a must
  • Strong verbal and written communication skills
  • Highly organized with the ability to work on multiple projects with different deadlines
  • Team player
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