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- Tasks: Develop credit risk models and support responsible lending initiatives using data analytics.
- Company: Fast-growing financial services firm backed by a major international group.
- Benefits: Competitive salary, bonus, hybrid work, and strong benefits package.
- Why this job: Influence strategy and shape the future of responsible lending in a dynamic environment.
- Qualifications: Degree in quantitative field and 2-3 years in credit risk or analytics.
- Other info: Collaborative culture with regular engagement with senior leadership.
The predicted salary is between 36000 - 60000 £ per year.
This range is provided by Practicus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from Practicus
Credit Analyst | Confidential Financial Services Firm
A fast-growing credit, analytics and technology business backed by a major international financial group is looking for a Credit Analyst to join its London-based team.
The company combines the best of finance, data science and technology to drive smarter, more responsible lending decisions across multiple UK consumer credit brands. This is a fantastic opportunity to work closely with senior leaders, influence strategy, and help shape the next generation of responsible lending models.
The Role
- Develop and maintain affordability and credit risk models, rules, and policies
- Support responsible lending and financial vulnerability initiatives
- Use data and analytics to deliver actionable insight and optimise decisioning
- Explore innovative credit solutions, including Open Banking / Open Finance
- Present insights and recommendations to senior management and key stakeholders
About You
🎓 Background & Experience
- Degree with strong quantitative or analytical focus
- 2–3+ years in a credit risk or analytics role within UK consumer lending
- Exposure to personal loans, credit cards, BNPL, or point-of-sale finance
- Hands‑on experience with credit reference agency data and policy development
- Strong analytical mindset – able to turn data into insight and business action
- Confident with SAS, SQL or Python and advanced Excel skills
- Commercially astute and able to balance risk vs. growth
- Familiarity with Open Banking data or AWS Quicksight a plus
💬 Personal Traits
- Self‑starter with integrity and reliability
- Detail‑focused but commercially aware
- Clear communicator and collaborative team player
- Curious, pragmatic, and open to innovation
What’s on Offer
✅ Competitive salary and discretionary annual bonus
✅ Full exposure to company strategy and product P&L
✅ Regular engagement with C‑level leadership
✅ Modern, informal, and collaborative work culture
✅ Strong benefits package including pension, life cover, PMI, dental, income protection, and 25–28 days holiday
✅ Hybrid working from a modern London office
If you’re an analytical thinker who thrives on solving complex credit challenges and wants to be part of a high‑impact, data‑driven business, this is the perfect next step in your career.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Finance, Analyst, and Information Technology
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Credit Analyst employer: Practicus
Contact Detail:
Practicus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their approach to credit risk and analytics, and think about how your skills can contribute to their goals. This will help you stand out as a candidate who’s genuinely interested.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role of a Credit Analyst. Use specific examples that showcase your analytical skills and problem-solving abilities to impress the interviewers.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Credit Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Analyst role. Highlight your experience in credit risk and analytics, and don’t forget to showcase your skills with SAS, SQL, or Python. We want to see how your background aligns 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 responsible lending and how your analytical mindset can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, be sure to include specific examples of how you've used data to drive decisions in previous roles. We’re keen on seeing how you turn data into actionable insights, so don’t hold back on those details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive – a trait we really value!
How to prepare for a job interview at Practicus
✨Know Your Numbers
As a Credit Analyst, you'll be dealing with data and analytics all day long. Brush up on your quantitative skills and be ready to discuss how you've used data to drive decisions in your previous roles. Prepare specific examples of credit risk models or analytical projects you've worked on.
✨Understand the Company’s Vision
Research the company’s approach to responsible lending and their use of innovative credit solutions like Open Banking. Be prepared to share your thoughts on how these trends impact the industry and how you can contribute to their strategy.
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your experience with SAS, SQL, Python, and Excel. You might be asked to solve a problem or analyse a dataset during the interview, so practice explaining your thought process clearly and confidently.
✨Communicate Clearly and Collaboratively
Since the role involves presenting insights to senior management, practice articulating your ideas succinctly. Use examples from past experiences where you successfully collaborated with teams or influenced decision-making to demonstrate your communication skills.
