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For Companies At a Glance
- Tasks: Lead the development of credit risk scorecard models using Python and analytics.
- Company: Join an ethical lender dedicated to supporting customers fairly.
- Benefits: Earn up to £60,000 with a great benefits package and hybrid work options.
- Why this job: Make a real impact in financial services while working with senior stakeholders.
- Qualifications: Strong experience in credit risk scorecards and Python is essential.
- Other info: This role is perfect for those passionate about ethical lending.
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 within the role
- 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
Lead Credit Risk Analyst – (Scorecard Modelling) employer: Harnham
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 unsecured lending. This will not only help you understand the role better but also give you insights to discuss during interviews.
✨Tip Number 2
Brush up on your Python skills, particularly in relation to data analysis and scorecard development. Consider working on a small project or two that showcases your ability to apply these skills in a practical context.
✨Tip Number 3
Prepare to demonstrate your communication skills by practising how you would present complex data findings to senior stakeholders. Think about how to make your insights clear and actionable.
✨Tip Number 4
Network with professionals in the credit risk field, especially those who work in ethical lending. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
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 stakeholder communication.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about ethical lending and how your background aligns with the company's values. Mention your experience in unsecured lending and how it relates to the role.
Showcase Your Technical Skills: Emphasise your proficiency in Python and any relevant tools or methodologies you have used in scorecard modelling. Consider including a brief project description or achievement that showcases your technical expertise.
Prepare for Interviews: Be ready to discuss your previous work in credit risk analysis and how you approach model development. Prepare examples of how you've communicated complex data to senior stakeholders effectively.
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 analytical findings 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 in the past.
