Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of credit risk scorecard models using Python and analytics.
- Company: Join an ethical lending business dedicated to fair customer support.
- Benefits: Earn up to £60,000 with a comprehensive benefits package and hybrid work options.
- Why this job: Make a real impact in financial services while collaborating with senior stakeholders.
- Qualifications: Strong experience in credit risk scorecards and Python; excellent communication skills required.
- Other info: This role is perfect for those passionate about ethical lending and data analytics.
The predicted salary is between 48000 - 72000 £ per year.
Up to £60,000
Hybrid
London
The Company
I am hiring a Lead Credit Risk Analyst for a lending business that is an ethical lender focused on supporting customers fairly. Within this role, you will be leading the scorecard modelling for the business using Python daily.
The Role
As a Lead Credit Risk Analyst, you will be:
- Developing credit risk scorecard models
- Using analytics skills to improve credit risk strategies
- Monitoring the performance of the scorecard and the portfolio performance
- Working with and presenting to senior stakeholders daily
- Using Python to develop credit risk models daily
Your skills and experience:
To be successful as a Lead Credit Risk Analyst, you will need:
- Strong experience developing credit risk scorecards
- Experience as a credit risk analyst using Python daily
- Experience working in unsecured lending
- Experience working in financial services
- Excellent communication skills
Benefits
Up to £60,000 + benefits package
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Credit Risk Analyst - (Scorecard Modelling)
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk modelling, especially in the context of ethical lending. This will not only help you understand the company's values but also allow you to discuss relevant strategies during your interview.
✨Tip Number 2
Brush up on your Python skills, particularly in relation to scorecard modelling. Consider working on a small project or case study that showcases your ability to develop credit risk models using Python, as this could be a great talking point in your discussions with us.
✨Tip Number 3
Prepare to demonstrate your analytical skills by reviewing past projects where you've improved credit risk strategies. Be ready to share specific examples of how your contributions led to measurable improvements in portfolio performance.
✨Tip Number 4
Since you'll be presenting to senior stakeholders, practice your communication skills. Focus on how to convey complex data insights in a clear and engaging manner, as this will be crucial for your success in the role.
We think you need these skills to ace Lead Credit Risk Analyst - (Scorecard Modelling)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing credit risk scorecards and using Python. Use specific examples that demonstrate your skills in analytics and communication, especially in relation to working with senior stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your passion for ethical lending and how your background aligns with the company's values. Mention your experience in unsecured lending and how you can contribute to improving credit risk strategies.
Showcase Technical Skills: Clearly outline your technical skills related to Python and scorecard modelling in both your CV and cover letter. Consider including a brief project or achievement that showcases your ability to develop credit risk models effectively.
Prepare for Interviews: If invited for an interview, be ready to discuss your previous projects in detail. Prepare to explain your approach to scorecard modelling and how you monitor performance, as well as your experience presenting to stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python and scorecard modelling during the interview. Be prepared to discuss specific projects where you've developed credit risk models, as this will demonstrate your technical expertise.
✨Understand the Company’s Values
Since the company is an ethical lender, it’s important to align your values with theirs. Research their mission and be ready to discuss how your approach to credit risk analysis supports fair lending practices.
✨Prepare for Stakeholder Interaction
As you’ll be presenting to senior stakeholders, practice explaining complex concepts in a clear and concise manner. Think of examples where you successfully communicated your findings or strategies to non-technical audiences.
✨Demonstrate Analytical Thinking
Be ready to discuss how you use analytics to improve credit risk strategies. Prepare examples that showcase your problem-solving skills and how you’ve monitored and adjusted scorecard performance based on data insights.
