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Senior Financial Risk Modeller - Skipton, Yorkshire, United Kingdom, BD231


Job Introduction

This is an excellent opportunity for a statistical model developer or data scientist to join our vibrant Modelling Team, developing and maintaining risk models. Risk models are used to support key decisions and processes across the Society in areas such as mortgage approvals, IRB Capital and IFRS9 Impairment requirements and forecasting.

You will work on short term investigative pieces of research and longer-term strategic model builds. This opportunity is perfect for a creative, self-motivated individual with excellent communication and analytical skills.

Main Responsibilities

This role provides the opportunity to work on key model development projects using predictive analytics and machine learning techniques. You will be exposed to a wide range of stakeholders from across the business, helping you learn and develop your skills and knowledge. You will have exposure to an assortment of models within the team and you will be given room to use your creative flair to experiment and discover the optimal modelled solution while supporting less experienced analysts.

Through involvement in the design, development, implementation and monitoring of predictive models you will require the ability to understand data and its application to the wider business. Technical information will need to be documented and explained to a range of audiences, so the ability to describe complex information in a non-technical manner is key.

You will work closely with key stakeholders such as Credit Risk, Finance, Capital and Regulatory Reporting and Data and Information Services on areas such as regulatory capital, impairment, forecasting and application scorecards.

Ideal Candidate

We are looking for an experienced modeller or data scientist, who is highly numerate, has a technical and analytical way of thinking, is excellent at problem solving and is willing to grow and develop with the role.

You will be highly motivated and capable of working on a combination of different activities as well as being an effective communicator at all levels, whether this is through technical documentation or presenting at committees to non-technical experts.

Practical experience of IRB regulation and risk modelling in SAS and SQL would be advantageous. Exposure to R, Python and Machine Learning techniques would also be beneficial.

About Skipton Building Society

At Skipton Building Society we are not just another Financial Services Institution we are a mutual organisation, which means we are owned by our members and believe in placing them at the heart of everything we do. The same goes for our people. We can only be successful as a business if we have great people and we believe in treating people as individuals. Our values are Trust, Ownership and One Team which reflect the attitudes and way of working everyone here displays daily, and which are key to the delivery of the outstanding level of personal service we offer our customers.

We're committed to creating a diverse and inclusive workplace where every colleague has an opportunity to fulfil their career potential. We respect and appreciate the value that our colleagues' unique differences can bring and offer consideration for anyone seeking a more flexible work-life balance. If you have a need for flexibility, then please let us know.

Why Work For Us

We're committed to paying our people fairly for the role they undertake and provide a wide range of benefits to support our colleagues' finances and wellbeing, including our Employee Assistance programme, the opportunity to buy extra holidays and shopping discount vouchers.

You'll be able to shape your career within your team and can expect a structured learning and development programme where you'll be valued recognised and rewarded.

This role can accommodate home working and the Society will support relocation if required. More information on benefits can be found here: