Risk Analyst

Description This

Swindon

On-site

GBP 36,000 - 52,000

Full time

11 days ago

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Benefits offered by this job

Private medical insurance

Annual performance-related bonus

Training and development

Life assurance

Wellhub – health and wellness options

Volunteer days

Pension

Job summary

Nationwide is seeking a Risk Analyst to join the Risk Decision & Data Science team in Swindon. You will support credit risk decision models across application, behavioural and collections portfolios, employing regression and modern machine learning techniques to improve decision tools and outcomes for members.

Under a Risk Manager's guidance, you will build relationships across the business, write SAS code, and present insights to drive better decisions while working in a flexible hybrid setup

Qualifications

Strong quantitative degree in Mathematics/Statistics or related field.
Experience with predictive models is beneficial.
Experience with data analysis and modelling.
Ability to present findings clearly to stakeholders.

Responsibilities

Develop, maintain and monitor credit risk decision models across multiple cycles (Application, Behavioural, Collections).
Apply regression and machine learning techniques in model development.
Write and run SAS code to generate data and insights.
Collaborate with stakeholders to ensure models are understood and used to improve decision making.

Skills

Numerical aptitude

Data analysis

Communicating insights

Team collaboration

Education

Bachelor's degree in Mathematics/Statistics

Tools

SAS

Python

Job description

Swindon, United Kingdom
Cardiff, United Kingdom

A fantastic opportunity has become available as a Risk Analyst in our thriving Risk Decision & Data Science team – winners of the “Credit Modelling & Risk Team of the Year” at both the 2022 and 2020 Credit Strategy Awards. RD&DS is a dynamic and fun place to work, with a fantastic team culture and a culture for recognising and rewarding the great work its colleagues do.

The role involves supporting the decisions made across our key lending products, helping to continuously improve our decision tools that enable the business to make better decisions for our members.

As a Risk Analyst, with the support of a Risk Manager, you will be responsible for supporting projects relating to the ongoing development, maintenance and monitoring of Credit Risk decision models across multiple cycles (Application, Behavioural and Collections) and affordability solutions across all our Retail lending portfolios. As well as traditional model development techniques, including regression modelling, use of cutting-edge Machine Learning/Data Science techniques will also feature within model development and maintenance.

This role is suitable for highly numerate graduates looking to apply their learnings from their degree within a practical environment as part of a high-performance hybrid working team (working from home and in person), with a fantastic culture.

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 our Swindon 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.

Uncompromisingly Customer, whatever our role

The extras you’ll get

There are all sorts of employee benefits available at Nationwide, including:

Private medical insurance

A highly competitive pension to help you build a strong foundation for retirement

Access to an annual performance-related bonus

Training and development to help you progress your career

A great selection of additional benefits through our salary sacrifice scheme

Life assurance to provide peace of mind for you and your loved ones in the event of your death

Wellhub – access to a range of free and paid options for health and wellness

Up to 2 days of paid volunteering a year

Banking – but fairer, more rewarding, and for the good of society

We forge our own path at Nationwide.

As a mutual, we’re owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. We don’t see customers as the engine of our own profit. We share our profits with them and put their needs first. Always there when they need us. Supporting them and their lives.

If you’re inspired by fairer finances, passionate about making a meaningful impact, and truly care about our customers, you’re one of us.

At Nationwide, you are challenged to grow and rewarded for doing so. Valued. Recognised. Inspired to be your best. As a community, we want our working lives to count. As a team, we celebrate what we achieve. As a standard-setter, we work for the good of customers, communities, and broader society.

We are purpose-driven. Uncompromisingly customer. Unstoppably Nationwide.

What you’ll be doing

Under the guidance of your line manager, you’ll undertake work that will be varied and technically demanding, and you could be working on your own or as part of a wider team.

You’ll need to write and run code in SAS (we’ll teach you this part) to produce the data required to identify key insights, monitor model performance and support the development of models and advanced analytical tools using relevant statistical techniques.

You’ll also be building relationships with team members and across the business to present your insights, ensure our models are understood, and our models are used optimally to benefit our customers.

About you

As a minimum you’ll have:

A strong quantitative degree in Mathematics, Statistics or another quantitative related subject; any experience working with predictive models would also be beneficial

Experience of working with data, carrying out advanced analytics and modelling, interpreting results and making recommendations

A logical and analytical approach, with a passion for solving complex problems to a high standard

Experience of presenting and explaining your findings to others, both verbally and through written reports

Experience of building relationships, communicating with confidence, and working effectively on your own initiative

A strong aptitude for programming and coding tools such as SAS, R or Python; experience is preferable but not required, as training will be provided

Our customer first behaviours put customers and members at the heart of how we work together. They are the set of behaviours that every colleague needs to display, in every role:

Feel what customers feel - We step into our customers’ shoes, using their feedback and insights to empathise with them and to understand their needs, so that every decision we make starts and finishes with our customers in mind

Say it straight - We are brave in speaking out and saying what we think – we’re honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand

Push for better - We don’t settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development

Get it done - We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes

You can strengthen your application by showing how our customer first behaviours resonate with you, and where you may have already demonstrated these.

Job Info