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AVP, M&A & Reinsurance Risk Analyst

Work from home Full-time role Hiring

Job Description

  • Review transaction documents including deal information memorandum, appraisals, product profiles, contracts, experience studies, and other materials associated with prospective transactions.
  • Review pricing assumptions and internal underwriting diligence.
  • Review the analysis of cedants’ experience to ensure sufficient diligence was performed, data is credible, and proper controls were employed in setting assumptions.
  • Review investment strategies and their inherent risks in light of liabilities in a given transaction.
  • Ensure pricing assumptions are reasonable in light of cedant’s experience, company experience, industry experience, and professional judgment.
  • Validate pricing models and results.
  • Review pricing model design, results, and the peer review (challenger) process.
  • Recommend sensitivity and stress tests and evaluate their impacts.
  • Perform independent validation of pricing models in their entirety or specific pricing results, including the development of replication models where necessary.
  • Identify, assess, and communicate deal risks.
  • Risks include, but are not limited to, actuarial assumption risk, investment risks (credit, ALM, liquidity), operational risk, regulatory and tax risk, and expense risk.
  • Evaluate proposed risk mitigation strategies and their potential effectiveness.
  • Document risks for management presentations and in ERM risk memorandums.
  • Advise SVP L&A Risk Officer and CRO on deal economics and risks in advance of bid decision making.
  • Ensure full compliance with the company’s transaction and pricing governance standards.

Requirements

  • Bachelor’s or advanced degree in actuarial science, mathematics, statistics, engineering, or comparable program of study.
  • A minimum of 7 years of relevant insurance experience. Insurance product pricing experience is preferred, but not required, as diverse actuarial experience is invaluable.
  • Fellow of the Society of Actuaries (FSA) or comparable accreditation is preferred. Career ASAs with very strong experience will be considered.
  • Quantitative risk management experience (such as investment management or quantitative finance) with sufficient applied insurance background will also be considered.
  • Effective written and verbal communication skills.
  • Candidates must be able to collaborate effectively with others and quickly disseminate information.
  • Candidates must have a strong foundation of technical knowledge pertaining to life insurance and/or annuity products and their inherent risks.
  • Understanding diverse insurance product designs, product pricing principles, and ALM is critical.
  • Experience with pricing or other applied insurance ALM modeling is important.
  • Applied experience with Bermuda and/or Solvency II accounting and capital frameworks is a plus but is not required.
  • The company will consider candidates with varied backgrounds such as risk management, valuation, modeling, or pricing.
  • Candidates should be inquisitive and active learners that seek to grow their understanding in all they do.
  • The nature of this role involves evaluation of diverse, often complex or incomplete, financial information.
  • Having the ability to independently analyze and draw insightful conclusions from such situations is critical to the role.
  • The nature of this role may also require analytical research of technical and sometimes theoretical matters, where information is lacking, and expert judgment is required.
  • Candidates should have technical proficiency in actuarial calculations, analyses and models.
  • Candidates for this role should have well-developed modeling skills with the ability to use / review work in current actuarial software platforms such as AXIS, MG ALFA, or comparable.
  • In addition, candidates should have the ability to develop solutions as needed in programming and/or database languages to perform analyses.
  • Proficiency in one or more of the following is required Python, VBA, SQL, C, or similar.

Benefits

  • Annual bonus based on company and individual performance
  • Generous benefits package Apply To this Job

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