Senior Risk Data Scientist

4 weeks ago

Swindon, United Kingdom Nationwide Building Society Full time

Job Description 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. 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. You can also find out more about our approach to hybrid working here.

Leading 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.
Coach and develop your team in machine learning modelling.

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., 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

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.
So, it’s a good idea to call out your most relevant experience on your application to give yourself the best chance.

A personal pension - if you put in 7% of your salary, we’ll top up by a further 16%
Life assurance worth 8x your salary
A great selection of additional benefits through our salary sacrifice scheme
Access to an annual performance related bonus
Access to training to help you develop and progress your career
25 days holiday , pro rata

Nationwide is the world’s largest building society. As a building society, we’re owned by our members - that’s our customers who have their current account, mortgage or savings with us.

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