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Form of workHours:Permanent, full time 35 hours per week, Monday-Friday. Flexible and hybrid working available, typically one/ two days in the office per month.Closing Date:Mon, 19 Feb 2024Are you a passionate, analytical leader? Do you have previous experience of building, designing and implementing model risk frameworks? Are you results driven with an ability to articulate, influence and drive modelling strategy across the complete data science lifecycle? If the answer is yes, then this may be the job for you.We are recruiting an experienced Model Validation/ Risk Management Lead to join our growing team.Who Are We? Not just another building society. Not just another job.We're the fourth biggest building society in the UK and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're owned by our members.Our colleagues say Skipton's a great place to work, and you could be one of them, bringing with you new ideas on how we can keep customers at the heart of what we do.Whatever your background, and whatever your goals, we'll help you take the next step towards a better future.You will be joining the Model Risk Management (MRM) team, consisting of
6 Model Risk professionals. The MRM team play a strategically important role through the provision of a model risk framework and the delivery of model validation exercises.What’s In It For You?Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.We have a range of other benefits available to you including:Annual discretionary bonus scheme25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 daysHoliday trading scheme allowing the ability to buy and sell additional annual leave daysMatching employer pension contribution (up to 10% per annum)A commitment to training and developmentPrivate medical insurance for all our colleagues3 paid volunteering days per annumDiverse and inclusive colleague networks available for you to join including our Carers and Pride Alliance groupsWe care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership What Will You Be Doing?As a Senior ModelValidation Lead you will be responsible for:Leading the regular independent validation of the Society’s strategically critical, highly material models. This includes scoping of validation activities, completion of quantitative and qualitative validation tests, preparation of validation reports and communication of outputs to senior committees and stakeholders including Model Governance Committee, Board Risk Committee and ExCo. Validation activity will cover the spectrum of the data science lifecycle, from data quality monitoring to model design, statistical performance assessment, model deployment and performance monitoring.Leading the development, implementation, and maintenance of an effective, efficient, and regulatory compliant model risk framework. This includes the Model Risk Appetite, the Model Risk Policy, Model Inventory, Model Standards.Building and maintain strong relationships across the business, being recognised as a highly credible individual who can communicate complex concepts in a simple to to understand way.Providing data science expertise and consultancy to other analytical areas through effective business partnering.Maintaining an appropriate breadth and depth of technical knowledge through the development of a strong external network in relation to data science techniques, validation approaches and regulatory compliant governance frameworks. Maintaining a detailed knowledge of prevailing and emerging regulation in respect of Advanced Internal Ratings Based Approach lender requirements, accountancy standards and any other relevant regulation.Coordinating Society-wide activity for the annual Advanced Internal Ratings Based Approach attestation, including documentation of outputs.Leading a team through matrix management, providing guidance and constructive challenge.Creating the delivery plan for key areas of focus. Monitor progress against plan and manage stakeholder expectations effectively.What Do We Need From You? QualificationsEducated to degree level in a mathematical / analytical subject. SkillsAn effective leader of analytical functions creating delivery / resource plans and coaching Analysts / Leads to delivery within pre-agreed timelines. Excellent Data Science skills, covering the full spectrum of the analytics lifecycle. An ability to critically analyse and validate complex statistical model
s across a range of business areas, utilising a balance of business and regulatory knowledge combined with statistical rigour. An ability to communicate complex, technical information to non-technical audiences clearly, succinctly and with impact in both written and verbal form. An advanced user of at least one of Excel, SAS, Python, R or SQL, with an aptitude and enthusiasm for learning other analytical tools. KnowledgeKnowledge of a range of model validation techniques and approaches (from desktop review to completion of relevant statistical tests and/or the creation of challenger models). Knowledge of the prevailing and emerging prudential regulatory environment in which the Society operates. This includes knowledge of the Capital Requirements Directive (inclusive of the Standardised and IRB Approaches to Regulatory Capital), the implications of IFRS 9 for a retail mortgage lender and the PRA requirements associated with model governance.
