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Lloyds Banking Group in Leeds is seeking an Analyst - BCB Credit Risk Modelling to develop and maintain models supporting decisions across Business and Commercial Banking. You will work with data to add value for customers, manage risk and support a strong bank.
You’ll develop prudential capital or impairment models for retail and commercial banking, using SAS and Python for data manipulation, and collaborate with Risk and Finance to meet regulatory requirements.
JOB TITLE: Analyst - BCB Credit Risk Modelling
SALARY: £36,224
LOCATION(S): Leeds, Bristol or Edinburgh
HOURS: Full-time, 35 hours
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time in the office.
Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
As an Analyst in the BCB Credit Risk Modelling team, you'll help develop and maintain models that support important business decisions across Business and Commercial Banking.
You’ll work with data that helps us add value for customers, manage risk effectively and support a safe, strong bank. Working as part of a specialist modelling team, you’ll support different stages of the model development and maintenance process - from understanding regulatory requirements and turning them into analytical problems, through to exploring modelling approaches and helping build effective solutions.
This is a great opportunity for someone who enjoys working with data, solving problems and using insight to support better decision‑making across the business.
Develop and maintain prudential capital or impairment models for retail and commercial banking customers
Use coding languages (SAS and Python) for data manipulation and analysis
Work with Risk and Finance business partners to ensure projects meet regulatory and business requirements
Collaborate with multidisciplinary teams, including internal governance and implementation teams, to deliver effective analytical solutions.
We’re on an exciting journey to transform our Group and the way we’re shaping finance for good. We’re focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone.
A strong applied knowledge of statistical modelling e.g. regression or decision trees
Proficient in a coding language (e.g. SQL, SAS, Python) to manipulate data and produce insight using predictive analytics techniques. Training and support will be provided for the specific tools required for the role
Ability to present techniques & findings in a clear, visual manner to support senior business partners decision making, including non-technical colleagues.
We know that great talent comes from many backgrounds. We recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.
A generous pension contribution of up to 15%
An annual performance-related bonus
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
24 days' holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies.