Senior Analyst - Credit Risk Modelling

Company Description

Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.

Company Name: Colten Care

Job Description

End Date

Friday 03 February 2023

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 of a Senior Analyst - Credit Risk Modelling

Working as part of a team you will support all stages of a prudential model development or maintenance process from understanding the regulations, translating them to an analytical problem statement and experimenting with different modelling approaches to build the most appropriate solution.

As a Senior Analyst in Credit Risk Modelling, you’ll perform the following activities:

• Develop and maintain prudential capital or impairment models for retail and commercial banking customers · UseSAS (coding language) for data manipulation and analysis

• Work with Risk and Finance business partners to agree the objectives of analytical projects and ensure they meet regulatory and business requirements

• Mentoring and coaching of junior colleagues

• Collaborate with multidisciplinary teams, including internal governance and implementation teams, to deliver effective analytical solutions

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.

Essential:

• Minimum of 18 months industry experience delivering predictive analytics in a regulatory or credit risk setting.

• A strong applied knowledge of statistical modelling e.g. regression or decision trees

• Proficient in a coding language (e.g. SQL, SAS) 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.

• Experience delivering projects as an individual or as part of a wider team.

Desirable:

• Practical experience in capital or impairment credit-risk modelling techniques and methods is desirable.

• Prior experience mentoring / coaching junior colleagues is desirable.

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 prosper. 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.

Qualifications

Additional Information