Agile Working Options

Job Description Summary

Job Description

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers. Through our brands, our Group has a relationship with just about every household and community in the UK. We underpin the lives of millions of individuals and businesses, and play a key role in helping to build a growing UK economy.

Could you help us become more insightful about data to redefine our customer journeys, risk management and lending strategies?
 

About Decision Science

We put our customers at the heart of everything we do and every colleague has an important part to play in this. Sitting within our Risk division, Decision Science (DS) is a centre of excellence for analytics, modelling and customer insights to help to deliver our vision by keeping the bank and customers safe while using the power of analytics and technology.
 

The team is responsible for supporting the wider Risk division by:

• Carrying out advanced data analytics and modelling to support customer needs and credit decisions across the credit lifecycle
• Supporting the bank’s prudential requirements such as capital and impairment allocation, capital optimisation and stress testing
• The delivery and oversight of internal credit policy and external regulatory reporting requirements
• We work with data that underpins vital business decisions, and together we make it possible to add customer value, control risk, and help to build a safe, strong bank for our customers.
   

About the role

This is an excellent chance to join the DS team. We have an exciting secondment opportunity to join a friendly, dynamic and innovative team to help us drive forward and develop our credit risk capabilities.
 

Working as part of a team, you’ll support every aspect of the end-to-end model development process and help to ensure the timely delivery of high quality models. Other responsibilities include:

• Taking a lead role in scoping, crafting, and maintaining industry leading Credit Risk models, such as customer decisioning models, fraud models, capital and impairment expected loss models, and econometric forecasting models, ensuring accurate governance is adhered to.
• Using tools such as SAS and Excel to manipulate and interrogate complex data, use your commercial expertise to interpret results and produce meaningful recommendations to the team and senior management and business partners across the group.
• Provide insight into customer behaviour, credit performance and profitability and developing other analytical solutions to support decision-making in LBG, pro-actively identifying and driving opportunities to improve model performance and accuracy – for example, by improving decision tools and processes.
• Provide technical leadership to junior analysts in the team, setting clear objectives, and providing constructive feedback in a positive and motivating way to support their development.
• Where required, deputise for colleagues at Band E, and support them in the development of wider initiatives across the department, championing best practices and improving the team culture.
• You’ll think about data differently - using it to really understand customer behaviour and credit performance and deliver the story to a business looking to transform how we serve them and deliver on our mission to be the Best Bank for Customers.

What we’re looking for

Are you passionate about statistical modelling and looking to make a difference? if yes, we value the following...

• Highly organised and motivated individual who is passionate about data insights and can explain complex issues in simple terms.
• Very analytical, demonstrating this with a good degree in a very numerate subject, for example maths, statistics, operational research, physics or economics, or with previous validated experience.
• Able to work at a fast pace and have an eye for detail and accuracy. You'll have a highly analytical approach to problem solving and it would be desirable for you to have practical experience or knowledge of advanced statistical, modelling and analytical techniques, particularly in relation to credit risk.
• Practical experience of modelling using statistical packages or programming languages (e.g. MATLAB, EViews, SAS, SPSS, R, C++), as well as good Excel skills.
• Existing knowledge of product lifecycles and associated credit risk practises
• A self-starter with the ability to work well within a team environment, without the need for close supervision. You’ll be a positive contributor and take an active role in progressing your own development. You'll demonstrate good time management and planning/organisation skills in your day to day activities.
• Excellent verbal & written communication and presentation skills

So what can we offer you in return?

Whatever your aspiration, you can also expect excellent benefits, personal development and a career that’s enriching and full of opportunity.

We also offer flexible working hours, agile working practices and regular home working. Working for Lloyds is great!

You'll also receive a package that includes:

• Discretionary bonus
• Cash sum of 4% which you can exchange for a variety of benefits or simply take the cash
• Private Medical Insurance
• Pension, where we'll give up to a max of 15%
• Share plans
• 30 days holiday (plus Public)

Are you interested in joining us? Apply today, we’d love to hear from you...

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain recover. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.