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- Tasks: Shape the future of UK lending through advanced data analysis and credit risk modelling.
- Company: Established financial services consultancy expanding its specialist credit risk team.
- Benefits: 29 days holiday, health cash plan, generous pension scheme, and flexible working.
- Why this job: Influence major financial decisions while developing your skills in a dynamic environment.
- Qualifications: 4+ years in data analytics, strong Python skills, and experience in customer behaviour modelling.
- Other info: Gain exposure to leading banks and enjoy social events and volunteering opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Step into a high-impact consulting career where your data skills shape the future of UK lending. You’ll work directly with leading banks and lenders on cutting-edge credit risk projects—everything from predictive modelling and origination scorecards to debt pricing and portfolio forecasting. This is your chance to sharpen your expertise while influencing major financial decisions.
With a flexible hybrid working setup, you can balance time between home, office, and client sites—giving you control over your schedule without compromising career growth. You’ll be part of a specialist credit risk team led by seasoned industry experts. Their coaching will help you refine your modelling techniques, master Python and advanced analytics tools like Pandas and NumPy, and deepen your understanding of regression, machine learning, and customer behaviour modelling.
As you progress, you’ll take ownership of key projects, develop financial and forecasting models, and start leading initiatives that directly impact major lending decisions. You’ll build a portfolio of work that speaks volumes for your next career move, whether that’s in consulting, banking, or tech.
What you’ll do
- You’ll dive into advanced data analysis, applying the latest techniques to solve real-world credit risk challenges.
- You’ll build and refine models, including financial forecasting, machine learning algorithms, and scorecard development, which are critical for decision-making in lending.
- You’ll also manage small to medium-sized projects, utilising analyst support effectively, giving you valuable experience in project delivery and client management.
What you’ll need
- At least 4 years of experience in data analytics within the UK consumer or SME lending sectors.
- Strong proficiency in Python and popular data analytics libraries like Pandas and NumPy.
- Experience in modelling customer behaviour using techniques such as regression or machine learning.
- Ability to present your findings clearly, tailored to the audience's level of expertise.
About the company
They’re a well-established financial services consultancy, currently expanding their specialist credit risk team. You’ll work alongside experienced professionals while gaining exposure to major banks and lenders across the UK.
Other benefits include 29 days holiday plus bank holidays, group life assurance, income protection, a generous pension scheme, and a health cash plan. There are also additional optional benefits to suit your lifestyle, social events and volunteering opportunities.
Credit Risk Consultant in City of London employer: Datalink Recruitment
Contact Detail:
Datalink Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Consultant in City of London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn, especially those in credit risk or data analytics. A friendly message can open doors and lead to referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Pandas, and machine learning. This will not only impress potential employers but also give you confidence when discussing your work.
✨Tip Number 3
Prepare for interviews by practising common questions related to credit risk and data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Credit Risk Consultant in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Credit Risk Consultant. Highlight your data analytics experience, especially in the UK lending sector, and showcase your proficiency in Python and relevant libraries like Pandas and NumPy.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your skills can help shape the future of UK lending. Don’t forget to mention any specific projects or achievements that relate to the job.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's predictive modelling or machine learning algorithms, demonstrating your hands-on experience will set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Datalink Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills, especially in Python and libraries like Pandas and NumPy. Be ready to discuss specific projects where you've applied these tools, as this will show your practical experience and understanding of credit risk modelling.
✨Showcase Your Modelling Techniques
Prepare to talk about your experience with regression and machine learning techniques. Have examples ready that demonstrate how you've used these methods to model customer behaviour or solve credit risk challenges, as this is crucial for the role.
✨Tailor Your Communication
Practice explaining complex data findings in a way that's easy to understand for different audiences. Whether it's a technical team or a client, being able to adjust your communication style will highlight your versatility and make a great impression.
✨Project Management Experience Matters
Be ready to discuss any small to medium-sized projects you've managed. Highlight how you utilised analyst support and delivered results, as this will demonstrate your ability to lead initiatives and manage client relationships effectively.
