Risk Science Manager: Model Monitoring (Hybrid)

Risk Science Manager: Model Monitoring (Hybrid)

Full-Time 53073 - 58970 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support model monitoring and develop new solutions for financial risk analysis.
  • Company: Join Lloyds Banking Group, a leader in finance and diversity.
  • Benefits: Generous pension, performance bonuses, flexible working, and 28 days holiday.
  • Other info: Inclusive workplace with opportunities for mentorship and professional development.
  • Why this job: Make a real impact in shaping the future of finance while growing your career.
  • Qualifications: Degree in a numerate field and experience in predictive analytics.

The predicted salary is between 53073 - 58970 £ per year.

Salary Range: £53,073 - £58,970

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

Flexible Working Options: Hybrid Working, Job Share

Job Description Summary:

Working as part of a team you’ll support all stages of model monitoring from maintaining existing monitoring to developing new monitoring solutions to support any newly developed models. This includes presenting analysis and recommendations to senior stakeholders. Additionally, carrying out analysis and providing data insights to stakeholders across Risk is also a regular part of the role.

  • Build and maintain Model Monitoring packs for commercial banking customers.
  • Use SAS and SQL and Python 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.

Why join us?

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.

What we’re looking for:

  • A degree preferably in a numerate/statistical discipline.
  • Experience delivering predictive analytics in a regulatory or credit risk setting.
  • An understanding of statistical modelling and an interest in developing models e.g. regression or decision trees.
  • Proficient in a coding language - Python and SAS.

We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply.

This is a place for you:

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.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.

We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.

We also offer a wide-ranging benefits package, which includes:

  • 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.
  • 28 days’ holiday, with bank holidays on top.
  • A range of wellbeing initiatives and generous parental leave policies.

Ready to do the best work of your career? Apply today.

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.

Risk Science Manager: Model Monitoring (Hybrid) employer: Lloyds Bank plc

Lloyds Banking Group is an exceptional employer, offering a hybrid working model that promotes flexibility and work-life balance. With a strong commitment to diversity, equity, and inclusion, the company fosters a supportive environment where employees can thrive and develop their skills through mentoring and coaching opportunities. Additionally, the generous benefits package, including a substantial pension contribution and wellbeing initiatives, makes it an attractive place for professionals seeking meaningful and rewarding careers in the financial services sector.

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Contact Details:

Lloyds Bank plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Risk Science Manager: Model Monitoring (Hybrid)

Tip Number 1

Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by practising common questions and showcasing your skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers and impress the interviewers.

Tip Number 3

Don’t just apply and wait! Follow up on your applications with a quick email to express your enthusiasm. It shows you’re keen and can help you stand out from the crowd.

Tip Number 4

Check out our website for job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining us!

We think you need these skills to ace Risk Science Manager: Model Monitoring (Hybrid)

Model Monitoring
Data Manipulation
SAS
SQL
Python
Predictive Analytics
Statistical Modelling

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Risk Science Manager role. Highlight your experience with predictive analytics and coding skills in Python and SAS, as these are key for us.

Showcase Your Skills:Don’t just list your qualifications; demonstrate how your skills align with the job description. Use specific examples from your past work that relate to model monitoring and data analysis.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key achievements stand out. This helps us see your potential quickly!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Lloyds Bank plc

Know Your Models

Make sure you understand the models you'll be working with. Brush up on statistical modelling concepts like regression and decision trees, as well as how they apply to risk science. Being able to discuss these in detail will show your expertise and enthusiasm for the role.

Showcase Your Coding Skills

Since proficiency in Python and SAS is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem or analyse data during the interview, so practice coding challenges related to data manipulation and analysis beforehand.

Prepare for Stakeholder Engagement

You'll need to present analysis and recommendations to senior stakeholders, so practice articulating your insights clearly and confidently. Think about how you can tailor your communication style to different audiences, especially when discussing complex data.

Emphasise Collaboration

This role involves working with multidisciplinary teams, so be ready to discuss your experience in collaboration. Share examples of how you've successfully worked with others to deliver analytical solutions, and highlight any mentoring or coaching you've done with junior colleagues.