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Modelling - Senior Analyst

Lloyds Banking Group

Location: Bristol City, Cardiff, Greater London, West Yorkshire

Job Type: Full time

Posted


End Date

Thursday 01 September 2022

We support agile working – click here for more information on agile working options.

Agile Working Options

Other Agile Working Arrangements / Open to Discussion

Job Description Summary

Sitting within our Risk function, Decision Science is a centre of excellence for analytics, modelling and customer insights. The team support the wider Risk division by:
  • Delivering sophisticated data analytics and modelling to support retail and commercial customer needs and credit decisions across the credit lifecycle
  • Supporting the bank’s prudential requirements such as capital and impairment allocation, and capital optimisation
    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.

    Job Description

As the UK’s largest retail, commercial and digital bank, Lloyds Banking Group (LBG) have a big responsibility to support the UK economy and put customers at the heart of everything we do.

We follow a clear set of principles which promote a positive, collaborative and creative culture. You'll find we're genuine about equal opportunity and deeply value diversity - all with a culture built around advancing the best in our people.

LBG has been named:

  • A Top 10 UK Employer for Working Families
  • A Times Top 50 UK Employer for Women
  • An Investing In Ethnicity Outstanding Employer
  • Business Culture Award for Best Large Organisation For Culture

We’re also embarking on a major transformation programme – putting unprecedented levels of investment into our platforms, people and capabilities.

Could you help us become more insightful about data to reshape our business and deliver success?

About decision science

Sitting within our Risk function, Decision Science is a centre of excellence for analytics, modelling and customer insights. The team support the wider Risk division by:

  • Delivering sophisticated data analytics and modelling to support retail and commercial customer needs and credit decisions across the credit lifecycle
  • Supporting the bank’s prudential requirements such as capital and impairment allocation, and capital optimisation

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.

Our roles are available in a variety of locations, and we support flexible and family-friendly ways of working.

The role

Working as part of a team to develop and maintain a range of complex Credit Risk models, the role provides the opportunity to:

  • Play a key role in delivering sophisticated statistical modelling solutions to drive decision making across Risk.
  • Use software tools such as SAS, Python and Excel to manipulate large datasets and to build, validate and analyse the performance of a range of predictive models.
  • Work independently, in line with established methodologies and, where required, provide technical leadership to less experienced analysts
  • Think about data differently, using it to really understand customer behaviour and credit performance and to tell a story to the business in order to influence decision making.
  • Build relationships with business partners across the organisation to understand requirements and develop effective modelling and analytical solutions.
  • Contribute to the development of the Decision Science team, sharing learning and knowledge and participating in team initiatives to build positive team culture.

The person

We welcome candidates from all personal and career backgrounds and support flexible working arrangements. We'll help you reach your full potential, meet your career aspirations and really make a difference as you embark on a career with excellent development and progression opportunities.

We are looking for people who are:

  • Comfortable working with numbers and have either a good degree in a numerate subject or equivalent quantitative experience gained in previous roles
  • Experienced in the use of programming languages (e.g., SAS, SQL, Python) to manipulate data. Practical experience in statistical credit-risk modelling techniques and methods is also desirable but training will be provided.
  • Analytical problem solvers, able to work creatively with data to draw out insight and answer business questions.
  • Effective communicators, building positive relationships with partners and communicating recommendations clearly to influence business decisions.
  • Well organised and able to manage their own workload while adapting to changing priorities.
  • Proactive in progressing their own personal development and collaborating with others to improve the culture of the wider team

And in return...!

We’ll recognise and reward your performance. Our award-winning benefits package includes:

A competitive salary and annual performance-related bonus

A generous annual holiday allowance with the option to purchase up to 5 additional days per year

An additional annual flexible allowance that you can use to choose from a wide range of benefits, such as Cycle2work and enhanced medical benefits, or take as cash

A contributory pension scheme

Private medical insurance

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.

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