At a Glance
- Tasks: Support model monitoring and develop new solutions for 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 growth and development.
- Why this job: Make a real impact in shaping the future of financial services.
- 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 keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
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 in Edinburgh employer: Lloyds Bank
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in Edinburgh or Leeds with a strong commitment to diversity, equity, and inclusion. Employees benefit from a generous pension scheme, flexible working options, and extensive professional development opportunities, all while contributing to a purpose-driven mission to help Britain prosper. With a focus on employee wellbeing and a supportive culture, this is a place where you can truly thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager - Risk Science in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for your application process.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills, especially in Python and SAS. Be ready to discuss how you've used these tools in past projects, as they'll want to see your practical experience.
✨Tip Number 3
Showcase your analytical mindset! During interviews, be prepared to present your thought process on model monitoring and data insights. Use examples from your past work to illustrate your problem-solving skills.
✨Tip Number 4
Don’t forget to highlight your mentoring experience! If you've coached junior colleagues before, share those stories. It shows you're not just a tech whiz but also a team player who can help others grow.
We think you need these skills to ace Assistant Manager - Risk Science in Edinburgh
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 Analytical Skills:In your application, don’t just list your skills; demonstrate how you’ve used them in real-world scenarios. Share examples of how you've developed or monitored models, and the impact your analysis had on stakeholders.
Be Authentic:We value diversity and unique perspectives, so be yourself! Share your journey and any relevant experiences that shaped your interest in risk science. This helps us see how you’d fit into our team.
Apply Through Our Website:For the best chance of success, apply directly through our website. It’s straightforward and ensures your application gets to the right people quickly. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Lloyds Bank
✨Know Your Models
Make sure you brush up on your knowledge of statistical modelling techniques, especially regression and decision trees. Be ready to discuss how you've applied these in previous roles, as well as any new monitoring solutions you've developed.
✨Showcase Your Coding Skills
Since proficiency in Python and SAS is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to data manipulation and analysis, so practice coding challenges beforehand.
✨Prepare for Stakeholder Engagement
You'll need to present analysis and recommendations to senior stakeholders, so think about how you can communicate complex data insights clearly. Consider preparing a mock presentation to practice articulating your findings and recommendations effectively.
✨Emphasise Team Collaboration
This role involves working with multidisciplinary teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your mentoring experience with junior colleagues and how you’ve contributed to team success.
