At a Glance
- Tasks: Support model monitoring and develop new solutions for risk analysis.
- Company: Join a forward-thinking finance group committed to diversity and innovation.
- Benefits: Generous pension, performance bonuses, flexible working, and 28 days holiday.
- Other info: Inclusive workplace with excellent career growth and support for all backgrounds.
- Why this job: Make a real impact in finance while developing your analytical skills.
- Qualifications: Degree in a numerate field and experience in predictive analytics.
The predicted salary is between 82726 - 87080 £ per year.
SALARY: £82,726 - £87,080
LOCATIONS: Edinburgh or Leeds
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you'll be doing:
- Working as part of a team to support all stages of model monitoring from maintaining existing monitoring to developing new monitoring solutions to support any newly developed models.
- Presenting analysis and recommendations to senior stakeholders.
- Carrying out analysis and providing data insights to stakeholders across Risk.
- Building and maintaining Model Monitoring packs for commercial banking customers.
- Using SAS, SQL, and Python for data manipulation and analysis.
- Working with Risk and Finance business partners to agree on the objectives of analytical projects and ensure they meet regulatory and business requirements.
- Mentoring and coaching junior colleagues.
- Collaborating 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. 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.
Assistant Manager - Risk Science employer: Lloyds Banking Group
Join a forward-thinking organisation in Edinburgh or Leeds as an Assistant Manager - Risk Science, where you'll be part of a dynamic team dedicated to transforming finance for good. With a strong commitment to diversity, equity, and inclusion, we offer a supportive work culture that prioritises employee growth through mentoring opportunities and a comprehensive benefits package, including a generous pension contribution and flexible working arrangements. Experience a workplace that values your contributions and invests in your future while enjoying a healthy work-life balance.
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 people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Use examples from your past experiences that highlight your analytical abilities and teamwork, especially with tools like Python and SAS.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly. Express your interest in their work and how you can contribute, especially in risk science.
✨Tip Number 4
Apply through our website for the best chance of landing that Assistant Manager role. We love seeing candidates who are genuinely interested in joining us and making a difference in finance!
We think you need these skills to ace Assistant Manager - Risk Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Assistant Manager - Risk Science role. Highlight your experience with predictive analytics, coding in Python and SAS, and any relevant statistical modelling skills. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about risk science and how you can contribute to our team. Don't forget to mention your interest in developing models and collaborating with multidisciplinary teams.
Showcase Your Analytical Skills:In your application, be sure to showcase your analytical skills and any experience you've had with model monitoring or data insights. We love seeing examples of how you've used data to make informed decisions or recommendations.
Apply Through Our Website:We encourage you to apply through our website for the best chance of success. It’s super easy, and you'll be able to keep track of your application status. Plus, we’re excited to see your application come through!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Numbers
Make sure you brush up on your statistical knowledge and be ready to discuss predictive analytics. Familiarise yourself with concepts like regression and decision trees, as these are likely to come up in conversation.
✨Showcase Your Coding Skills
Since proficiency in Python and SAS is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready.
✨Prepare for Stakeholder Engagement
This role involves presenting analysis to senior stakeholders, so practice articulating your insights clearly and confidently. Think about how you can convey complex data in a way that’s easy to understand for non-technical audiences.
✨Emphasise Team Collaboration
Highlight your experience working in multidisciplinary teams. Be ready to share examples of how you've collaborated with others, mentored junior colleagues, or contributed to team success in previous roles.
