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Credit Analytics Specialist
4 months ago
Hours:
The role of Credit Analytics Specialist is a full time, permanent position based on 35 hours per week, Monday to Friday. However, this role can offer flexible working for the right candidate including compressed/reduced hours.Our hybrid working policy means the ability to work remotely with the expectation that you would work from our Head Office in Skipton 2 days per month as a minimum.
Closing Date:
Sun, 2 Jun 2024
Introduction
We are recruiting for a Credit Analytics Specialist in our Credit Analytics team. If you enjoy adding value to customers by solving problems with your knowledge of financial products and skills in mathematics and technology, then this may be the job for you
Who Are We?
Not just another building society. Not just another job.
We're the fourth biggest building society in the UK and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're owned by our members.
Our colleagues say Skipton's a great place to work, and you could be one of them, bringing with you new ideas on how we can keep customers at the heart of what we do.
Whatever your background, and whatever your goals, we'll help you take the next step towards a better future.
This is an excellent opportunity for someone with knowledge of financial products and skills in data, mathematics and technology to join our Credit Analytics Team which consists of 30 individuals. The team develops predictive models, analytical solutions and associated reporting to support key decisions across the Society related to the provision of credit. The team works closely with Finance, Homes Business and Technology teams.
You will be involved in solving a variety of business problems and be given room to use your creative flair to experiment and discover optimal solutions. Information is documented and explained to a range of audiences, so the ability to describe complex information in a non-technical manner is key.
What’s In It For You?
Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.
The role of Credit Analytics Specialist is a full time, permanent position based on 35 hours per week, Monday to Friday. However, this role can offer flexible working for the right candidate including compressed/reduced hours.
Our hybrid working policy means the ability to work remotely with the expectation that you would work from our Head Office in Skipton 2 days per month as a minimum.
We have a range of other benefits available to you including;
Annual discretionary bonus scheme
25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days
Holiday trading scheme allowing the ability to buy and sell additional annual leave days
Matching employer pension contribution (up to 10% per annum)
Colleague mortgage (conditions apply)
Salary sacrifice scheme for hybrid & electric car
A commitment to training and development
Private medical insurance for all our colleagues
3 paid volunteering days per annum
Diverse and inclusive colleague networks available for you to join including our Carers and Pride Alliance groups
We care about your health and wellbeing – we provide a range of benefits that support this including cycle to work initiative and discounted gym membership
What Will You Be Doing?
The team uses Agile delivery methods to work together to deliver value. The activity undertaken within the role will include:
Undertake regular monitoring of Credit Analytics models, including the documentation of key trends and performing exploratory analysis to understand areas of potential concern.
Take part in regular review activity of Credit Analytics models including forming part of project teams performing periodic model reviews.
Perform analysis about residential mortgages to support the understanding of the risk of credit loss for potential and existing mortgage products.
Support the team in the production of regular reports related to the estimation of credit loss (for example IRB and IFRS 9 regular reporting).
Write narrative required for regulatory and financial reports.
Contribute to the business forecasts of mortgage credit loss through the regular forecast process and for specific forecasted scenarios.
Making updates to Credit Analytics models and reviewing and addressing model risks.
Interpret regulation related to mortgage credit loss and assess whether current models and processes currently meet regulatory requirements.
What Do We Need From You?
We would welcome anyone with experience of using data, mathematics, or technology to solve problems. We are looking for individuals that can work collaboratively across large deliverables. The role itself may be called (but is not limited to) Data Scientist, Statistician, Predictive Modeller, Machine Learning Developer / Engineer, Data Analyst in other organisations.
