Senior Data Scientist (Retail Financial Risk Modelling)

A fantastic opportunity has become available for a Senior Data Scientist in our thriving Retail Financial Risk Modelling team.
As a Senior Data Scientist within Retail Financial Risk Modelling, you will be responsible for delivery of cutting-edge tools that support the business to deliver our Mutual Good Commitment and support Financial Crime. You will provide strong technical leadership and support, to lead, motivate and enable your direct reports and the wider team. You will be engaging senior stakeholders, planning and leading multiple projects relating to the ongoing development, maintenance and monitoring of machine learning models for Climate Change and Financial Crime.
The role will require deep understanding of different machine learning techniques, and capability to optimise the use of modelling tools. Proven experience in stakeholder management and communication will be integral to the role. Your role will also be to support other colleagues to develop their careers, and that Retail Financial Risk Modelling is a great place to work.
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, at Swindon or Cardiff office. 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.Who we are looking forLeading your team to develop, maintain and deliver advanced analytical models, to support Climate Change and Financial Crime, employing relevant statistical techniques and adhering to current modelling standards and validation regulation.
You will also support the wider Retail Financial Risk Modelling to embed machine learning into models.
You’ll need to plan effectively and prioritise activities, to ensure your team are working on several business-critical activities at one time.
You’ll also need to pro-actively engage and communicate with the wider business on developments/enhancements and how they will impact business decisions.
Coach and develop your team in machine learning modelling.What you'll be doingTo be successful in this role you will:
Have experience in delivering innovative and creative data science/advanced analytics solutions to address complex business problems, using coding in SAS/Python/R or similar
Have deep knowledge of different advanced techniques, such as Gradient Boosting, Neural Networks, Support Vector Machines, unsupervised learning methodologies etc., including of their merits and limitations
Have hands-on experience of leading, motivating and mentoring a team to deliver machine learning models for the business
Have a strong knowledge of Risk models
Have a proven track record of senior stakeholder management, with high quality communication and influencing skills
Have a PhD, MSc or strong quantitative degree ideally from a Mathematics, Statistics, Computer Science or related subject
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.The extras you'll getThere are all sorts of employee benefits available at Nationwide, including:
A personal pension – if you put in 7% of your salary, we’ll top up by a further 16%
Up to 2 days of paid volunteering a year
Life assurance worth 8x your salary
A great selection of additional benefits through our salary sacrifice scheme
Gympass – Access to a range of free and paid options for health and wellness.
Access to an annual performance related bonus
Access to training to help you develop and progress your career
25 days holiday , pro rata
Why work for us?Nationwide is the world’s largest building society. With over 15 million customers, we have a relationship with almost a quarter of the UK’s population. We’ve got the scale to compete with the big banks, but we’re not a bank.
As a building society, we’re owned by our members – that’s our customers who have their current account, mortgage or savings with us. It means we can do things differently to deliver our Purpose – Banking – but fairer, more rewarding, and for the good of society.
When you work at Nationwide, you can experience that difference for yourself. You’ll be part of a high-performing, purpose-driven organisation that offers rewarding career experiences and a highly competitive range of benefits to match. You’ll also be joining us at an important time as we seek to reach more and more people in the UK. We want everyone in the UK to know that they don’t have to bank with a bank. They can choose a modern mutual instead.
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