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 inclusion.
- Benefits: Generous pension, performance bonuses, flexible working, and 28 days holiday.
- Other info: Dynamic team environment with opportunities for mentoring and career growth.
- Why this job: Make an 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 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 (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.
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 were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. 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.
Assistant Manager - Risk Science in Edinburgh employer: Lloyds Banking Group
Join us as an Assistant Manager in 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 values your growth through mentoring opportunities and a comprehensive benefits package, including a generous pension contribution and flexible working arrangements. Located in either Edinburgh or Leeds, our hybrid working model ensures you can balance your professional and personal life while contributing to meaningful projects that shape the future of finance.
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 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 analytical skills. Use examples from your experience with SAS, SQL, or Python to demonstrate your expertise in risk science.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values. Check out our website for roles that excite you and fit your skills. Tailor your approach to show why you’re a great match!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. Mention something specific from your conversation to remind them of your enthusiasm and fit for the role.
We think you need these skills to ace Assistant Manager - Risk Science in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Assistant Manager - Risk Science role. Highlight your experience with predictive analytics, coding in Python and SAS, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about risk science and how your background makes you a great fit for our team. Be sure to mention your understanding of statistical modelling and your interest in developing new models.
Showcase Your Team Spirit:Since collaboration is key in this role, share examples of how you've worked effectively in teams. Mention any mentoring or coaching experiences you've had, as we value those who can uplift their colleagues.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you'll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Numbers
Brush up on your statistical modelling knowledge, especially regression and decision trees. Be ready to discuss how you've applied these concepts in previous roles, particularly in predictive analytics within a regulatory or credit risk setting.
✨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 on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Prepare for Stakeholder Engagement
This role involves presenting analysis and recommendations to senior stakeholders. Think of examples where you've successfully communicated complex data insights to non-technical audiences. Practise articulating your findings clearly and confidently.
✨Emphasise Team Collaboration
Highlight your experience working with multidisciplinary teams. Be prepared to discuss how you've collaborated with colleagues from different departments, especially in delivering analytical solutions. Mention any mentoring or coaching experiences to show your leadership potential.
