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For Companies At a Glance
- Tasks: Lead scorecard modelling and enhance credit risk strategies using Python.
- Company: Join an ethical lender 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 is essential.
- Other info: This role is perfect for those passionate about ethical lending.
The predicted salary is between 36000 - 60000 £ 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
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 industry better but also give you valuable 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 personal project or contributing to open-source projects that showcase your ability to apply Python in real-world scenarios.
✨Tip Number 3
Prepare to demonstrate your communication skills by practising how to present complex data and models to non-technical stakeholders. Role-playing with a friend or mentor can help you refine your approach.
✨Tip Number 4
Network with professionals in the credit risk field, especially those who work in ethical lending. Attend industry events or join relevant online forums to make connections that could lead to referrals or insider information about 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, as these are crucial for the role.
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 your ability to present to senior stakeholders.
Showcase Technical Skills: Emphasise your proficiency in Python and any relevant tools or methodologies you have used in scorecard modelling. Providing concrete examples of past projects can help illustrate your capabilities.
Prepare for Interviews: Anticipate questions related to credit risk strategies and scorecard performance monitoring. Be ready to discuss your analytical approach and how you communicate complex information to non-technical 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.
✨Prepare for Stakeholder Interaction
Since the role involves presenting to senior stakeholders, practice explaining complex concepts in a clear and concise manner. Think of examples where you've successfully communicated analytical findings to non-technical audiences.
✨Demonstrate Your Analytical Mindset
Be ready to discuss how you've used analytics to improve credit risk strategies in previous roles. Prepare to share specific metrics or outcomes that resulted from your analytical work, as this will show your impact on the business.
✨Understand the Company’s Values
Research the ethical lending practices of the company and be prepared to discuss how your values align with theirs. Showing that you understand and support their mission can set you apart from other candidates.
