At a Glance
- Tasks: Support model monitoring and develop new solutions for risk analysis.
- Company: Join Lloyds Banking Group, a leader in finance and inclusion.
- Benefits: Generous pension, performance bonuses, flexible working, and 28 days holiday.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Shape the future of finance while making a real impact.
- 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, 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.
Assistant Manager - Risk Science employer: Lloyds Bank plc
At Lloyds Banking Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions diversity, equity, and inclusion. With flexible working options, a generous benefits package including a substantial pension contribution and performance-related bonuses, and ample opportunities for professional growth, our Edinburgh and Leeds locations provide the perfect environment for you to thrive and make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager - Risk Science
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for those tricky questions! Think about how your skills in predictive analytics and coding can solve real problems in risk science. Practise explaining your thought process clearly and confidently.
✨Tip Number 3
Show off your passion for data! During interviews, share examples of projects where you’ve used SAS, SQL, or Python. Highlight how your insights made a difference – it’ll show you’re the right fit for the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest roles and updates there, so keep checking back!
We think you need these skills to ace Assistant Manager - Risk Science
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Assistant Manager - Risk Science role. Highlight your experience with predictive analytics and coding skills in Python and SAS, as these are key to what we’re looking for.
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 show your ability to deliver analytical solutions and collaborate with teams.
Be Authentic:We value diversity and unique perspectives, so be yourself! Share your journey and how your experiences have shaped your interest in risk science. This helps us see the real you beyond just the qualifications.
Apply Through Our Website:For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to receive your application and keep track of it during the hiring process.
How to prepare for a job interview at Lloyds Bank plc
✨Know Your Numbers
As an Assistant Manager in Risk Science, you'll be dealing with data analysis and statistical modelling. Brush up on your knowledge of predictive analytics and be ready to discuss specific examples of how you've used SAS, SQL, or Python in your previous roles. This will show that you not only understand the tools but can also apply them effectively.
✨Prepare for Stakeholder Engagement
You'll need to present your analysis and recommendations to senior stakeholders. Practice explaining complex data insights in a clear and concise manner. Think about how you can tailor your communication style to different audiences, ensuring they grasp the key points without getting lost in technical jargon.
✨Showcase Your Mentoring Skills
Since mentoring junior colleagues is part of the role, be prepared to discuss your experience in coaching others. Share specific instances where you've helped someone develop their skills or overcome challenges. This demonstrates your leadership potential and commitment to team development.
✨Emphasise Your Collaborative Spirit
Collaboration is key in this role, so think of examples where you've worked with multidisciplinary teams. Highlight how you contributed to achieving common goals and how you navigated any challenges that arose. This will illustrate your ability to work well with others and adapt to different working styles.