Actuarial Senior Manager – Life – 27284

The Senior Manager/Manager, will support the existing team in offering a range of actuarial services and tools to a portfolio of clients within the insurance industry. This is expected to primarily include reserving and Solvency II work, but may also a range of other services including risk modelling, risk management, ALM, ESG, IFRS 17, data science and analytics.Location: LondonCategory: Life ActuarialType: PermanentKey duties (including, but not limited to):Lead the day-to-day project management and delivery of a diverse range of concurrent client engagements, ensuring appropriate planning is in place, that the correct actuarial methodologies are applied, and managing timetables, budgets and stakeholder expectationsApply actuarial and statistical skills to solve problems and draw applicable, actuarially sound, business conclusionsConfidently present results at client meetings, explaining the business implications of technical actuarial matters in an understandable and insightful mannerOversee the production of clear and informative reports to clients and to internal stakeholders (e.g. to the Responsible Individual (“RI”) for audit engagements), ensuring that these meet the requirements of the Technical Actuarial Standards (“TASs”)Ensure partners and directors are kept fully informed of all developments in your project portfolioBuild and keep a network of contacts within the insurance sectorMaintain good communication and relations with clientsBe fully aware of the services offered by other departments in the firm and continually look for cross selling opportunitiesContribute to business development initiativesQualified life actuary with significant experienceSome experience of at least two of the following in life insurance: reserving for accounting purposes; Solvency II Technical Provisions; Solvency II Standard Formula; Capital Modelling; Enterprise Risk Management; ALM. Experience of IFRS 17 would also be beneficialA willingness to get involved in new areas, including an interest in Data ScienceHigh standard of IT literacy, including a strong working-knowledge of MS Excel and a willingness to learn additional applications (e.g. Access, SQL, R)
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