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To lead and be accountable for the Group's regulatory capital modelling and submission processes, including ownership of the internal model and oversight of internal model validation, ensuring ongoing compliance with Solvency II and other applicable regulatory standards.
Job Responsibility:
Lead and manage the teams responsible for regulatory capital calculations and submissions (including SCR, validation reporting and associated governance)
Internal model development, maintenance and ongoing validation
Maintain, develop and enhance the internal capital model so that it continues to appropriately reflect the risk profile and business strategy
Own the regulatory submissions, acting as a key contact for regulators
Ensure that the internal model, validation framework and capital submissions meet all applicable Solvency II and internal governance standards
Lead model change, validation and regulatory approval processes, including preparation for regulatory reviews
Develop and embed robust model governance, documentation and controls
Build and maintain strong working relationships with Risk, Finance, Underwriting and Compliance teams
Develop a understanding of the business and risk profile to enhance the quality and relevance of capital analysis
Coach, develop and performance-manage team members, creating a strong pipeline of actuarial talent
Drive continuous improvement in modelling, validation and reporting processes
Ensure compliance with relevant policies, procedures and regulatory requirements
Requirements:
University degree, post-graduate preferred, in a quantitative or analytical discipline
Part qualified actuary or willing to undertake the actuarial exams
Strong modelling skills
Able to communicate effectively with internal staff and regulators, both verbally and in writing
Team worker as well as able to work on own initiative
General commercial and financial knowledge
The ability to manage time, meet deadlines and prioritise
Strong Programming skills with exposure to MS Excel 2007, MS Access 2007, and VBA
Understanding of statistical concepts and exposure to using statistical software with an ability to learn new technologies quickly
Professional work experience
exposure to insurance industry advantageous
Data analysis and research
Outcome focussed, flexible and enthusiastic
Interested in helping and educating others
Professional approach
Keen to interact with various departments in the group