Company

Skipton Building SocietySee more

addressAddressSkipton, North Yorkshire
type Form of workPermanent
CategoryBanking

Job description

Hours: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 2024Do you have a curious mindset and a passion for analytics? Can you interrogate and validate complex statistical models using various analytical tools? Are you a proven Analyst with Financial Services experience looking to progress in the world of Model Risk Management? If the answer is yes, then this may be the job for you!We are recruiting an experienced model validation professional to support the Skipton Group to manage model risk.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 prof
essionals. 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 membershipWhat Will You Be Doing?As a Senior ModelValidation Analyst, you will be responsible for:Completing the regular independent validation of the Society’s highly material models. This includes the completion of quantitative and qualitative validation tests, preparation of validation reports and communication of outputs to stakeholders.You will drive all validation activity across the data science lifecycle, from data quality monitoring to model design, statistical performance assessment, deployment and monitoring. Validation approaches will include desktop review, re-performance of statistical performance tests and creation of challenger models.Building and maintaining strong relationships across the business, being
recognised as a highly credible individual who can communicate complex concepts in a simple to understand, straightforward manner.Participating in short term virtual teams via a matrix management approach and provide technical guidance and support to other business areas as required.What Do We Need From You?Educated to degree level in a mathematical / analytical subject.Excellent Data Science skills, covering the full spectrum of the analytics lifecycle.An ability to critically analyse and validate complex statistical models 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.

Refer code: 2742420. Skipton Building Society - The previous day - 2024-02-08 23:42

Skipton Building Society

Skipton, North Yorkshire
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