Senior Risk Analyst

at  Nationwide

We have an exciting opportunity to join our Retail Financial Modelling team as a Senior Risk Analyst.
The Retail Financial Modelling team are a close-knit and friendly team based out of our Northampton and London offices and this role will involve supporting the ongoing development and maintenance of our provisions (IFRS9) and forecasting (which includes Concurrent Stress Testing) models. These models are built for our Secured portfolios being Owner Occupier, Buy-to-let and legacy mortgages.
A key tool we use in the work we do is SAS which you will be using on a day to day basis. You will be proficient in this tool however, we will also provide you with the training and opportunities to further develop your skills into a well rounded risk modelling professional.
Nationwide is making significant investment in technology expanding tools available to us (including SAS Viya and Python), giving you the opportunity to work in innovative ways to deliver real business benefit. To top it off, we’re a friendly bunch too! If you have the appropriate programming and analytical skills, and a passion for doing the right thing in the right way, this opportunity is for you.
At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.
For this job you’ll spend at least two days per week, or if part time you’ll spend 40% of your working time, based at either our Northampton or London office (if London, you will be required to travel to the Northampton office two days a month). If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here.
If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

ABOUT YOU

Applications are welcome if you meet the minimum criteria set out below. If you feel you would be a good fit for this role and you can tell us about your transferable experience, we encourage you to apply.

As a minimum, you’ll need:

• Experience of SAS coding
• Some experience or evidence of an aptitude for modelling or analytics and/or use of statistical tools (this includes, but not limited to, SAS / SQL / python or similar)
• Have a logical and analytical mind with a passion for solving complex problems to a high standard
• A strong numerate or data-related degree or the equivalent role-related experience

Our Customer First behaviours are all about putting customers and members at the heart of how we work together. You can strengthen your application by showing the behaviours that resonate with you, and how you might have already demonstrated these.

• Say it straight - This is about being honest and direct with good intent and saying what needs to be said in the room. It’s also about being clear, precise, and using language that we and, importantly, our customers and members can understand.
• Push for better - This is about aiming high and constantly looking for better in how we work together and serve our customers and members.
• Get it done - This is about prioritising what will have the greatest impact, being decisive and taking accountability for delivering on the end-to-end outcome.

We know applying for jobs can sometimes feel like you’re sending an application into a black hole. We review each application individually. So, it’s a good idea to call out your most relevant experience on your application to give yourself the best chance.

Under the guidance of a Lead Risk Manager, you will work on a variety of technically demanding model development projects, analysing complex problems to provide recommendations and solutions, working on your own or as part of a wider team.

You will be:

• Employing relevant statistical and analytical techniques to develop and maintain our forecasting and IFRS9 models
• Employing best in class modelling practice
• Sharing knowledge and expertise across the team
• Communicating the performance of models to the wider business
• Working with stakeholders from across the business
• Contributing to the success and evolution of the team

You’ll need to write and run code in SAS and other coding languages (we’ll teach you this part if you don’t have experience of it), to enable you and the team to produce the data required to identify key insights and build model features to enhance and develop our models.
You’ll also be building relationships with team members and across the business to present your work and to ensure our models are understood and used optimally to benefit our customers and members.