Actuarial Consultant

Overview
As a new Actuarial Consultant, you will work alongside Oliver Wyman''s industry leaders and experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with clients across insurance, reinsurance, investment banking, law firms, regulators, private equity, and more. You will have opportunities to take the initiative on new ideas, leveraging the wider Oliver Wyman and Marsh McLennan organisations.Responsibilities
Participate in projects across Life and PandC, including capital and financial reporting, capital optimisation, IFRS 17, and understanding the latest regulatory changes.Support risk management activities, including validation, risk appetite reviews, oversight, and emerging practice on climate risk.Support new business propositions and product development (PandC, life, and annuity) including modelling, valuation analysis, and strategy support.Contribute to Mergers and Acquisitions due diligence including assumption review, management support, model build, and development of projected UK statutory distributable earnings and Actuarial Appraisal Values.Assist with transformation of pre- and post-actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow.Assist with actuarial model conversions and optimisation.Support client and industry presentations, surveys, case studies, and marketing activities including proposals and tenders.Contribute to development and maintenance of intellectual capital, including data science techniques and quantitative finance methodologies.Collaborate with other Marsh McLennan business lines to build integrated client solutions.Qualifications
Bachelor''s or Master''s degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field.Commitment to passing actuarial exams to achieve FIA designation within a few years, and ongoing commitment to maintain membership with the Institute and Faculty of Actuaries.Strong skills with MS Office (Excel, Word, PowerPoint).Strong modelling skills with practical experience in at least one coding language (e.g., R, Python) preferred but not essential.Excellent written and oral communication skills in formal and informal settings.Proven ability for rapid learning, high performance, and professional growth.Strong time management skills and the ability to work effectively in a team.Deep critical-thinking skills and problem-solving ability.Highly motivated with a willingness to work in a dynamic environment.Employment type: Regular Employment.Note: This description reflects the scope of the Actuarial Practice and does not guarantee specific project allocations or client assignments.
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