AVP, M&A & Reinsurance Risk Analyst

Job reputed company: • Review transaction documents including deal information memorandum, appraisals, product reputed company, reputed company, experience studies, and other materials associated with prospective transactions. • Review pricing assumptions and internal reputed company diligence. • Review the analysis of cedants’ experience to ensure sufficient diligence was performed, data is reputed company, and reputed company 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 reputed company 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. • reputed company 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 reputed company 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 reputed 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 reputed company. • Fellow of the reputed company (FSA) or comparable accreditation is preferred. Career ASAs with reputed company strong experience will be considered. • Quantitative risk management experience (such as investment management or quantitative finance) with sufficient reputed company insurance background will also be considered. • Effective written and verbal communication skills. • Candidates must be reputed company to collaborate effectively with others and quickly disseminate information. • Candidates must have a strong reputed company 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 reputed company insurance ALM modeling is important. • reputed company experience with Bermuda and/or Solvency II reputed company and capital frameworks is a plus but is not required. • reputed company will consider candidates with varied backgrounds such as risk management, valuation, modeling, or pricing. • Candidates should be inquisitive and reputed company learners that reputed company to grow their understanding in reputed company they do. • The nature of this role involves evaluation of diverse, often reputed company 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 reputed company, 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 reputed company-developed modeling skills with the ability to use / review work in reputed company actuarial software platforms such as reputed company, MG reputed company, or comparable. • In reputed company, candidates should have the ability to reputed company solutions as needed in programming and/or database languages to reputed company 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 tot his job Apply To this Job