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For Companies At a Glance
- Tasks: Lead analytics growth and enhance credit risk strategies to boost business performance.
- Company: Join a rapidly growing lending business with ambitious plans for the future.
- Benefits: Enjoy a competitive salary, private medical care, pension scheme, and 25 days holiday.
- Why this job: Make a real impact in a smaller business while collaborating with diverse teams.
- Qualifications: Experience with Credit Bureau data, scorecard models, and strong skills in SAS, SQL, Python or R.
- Other info: Remote work with occasional travel to the Midlands.
The predicted salary is between 60000 - 85000 £ per year.
CREDIT RISK MANAGER/SENIOR MANAGER
£60-85,000 dependent on level
REMOTE (ONCE PER MONTH TRAVEL TO MIDLANDS)
THE COMPANY
This lending business are in a rapid period of growth and have very ambitious plans for the next few years. They are looking for an experienced candidate to take the lead in defining their analytics growth and strategic direction for the future, offering the chance to make a real impact in a smaller business.
THE ROLE
- Re-developing and enhancing statistical models, specifically scorecards, to drive insight into the customer journey and enhance business performance
- Design credit risk strategies and provide support on wider lending strategies including optimization and analysis
- Provide wider ad hoc analysis and insight into customer trends and monitor the ongoing performance of credit strategies and portfolios
- Working with external stakeholders and collaborating with wider business areas to communicate improvements and really make an impact
YOUR SKILLS AND EXPERIENCE
- Prior exposure to Credit Bureau data is essential
- Exposure to scorecard models is an essential requirement
- Previous experience in end-to-end scorecard development is highly desirable
- Strong SAS, SQL, Python or R is essential
- Prior management experience essential
SALARY AND BENEFITS
- Base salary – 60-85k depending on level
- Private Medical care
- Pension contribution scheme
- 25 days holiday
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link
Credit Risk Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Manager
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk management and analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the credit risk field, especially those who have experience with scorecard models and credit bureau data. Attend industry events or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Brush up on your technical skills, particularly in SAS, SQL, Python, or R. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency in these areas.
✨Tip Number 4
Prepare specific examples from your past experience that showcase your ability to develop and enhance statistical models. Be ready to discuss how your contributions have positively impacted previous employers, as this will highlight your potential value to us.
We think you need these skills to ace Credit Risk Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk management, particularly your exposure to Credit Bureau data and scorecard models. Use specific examples to demonstrate your skills in SAS, SQL, Python, or R.
Craft a Compelling Cover Letter: Write a cover letter that outlines your passion for the role and the company. Emphasise your previous management experience and how you can contribute to the company's growth and strategic direction.
Highlight Analytical Skills: In your application, focus on your analytical skills and experience with statistical models. Provide examples of how you've used these skills to drive insights and improve business performance in past roles.
Follow Application Instructions: Ensure you send your application through the specified 'Apply' link and address it to Rosie Walsh. Double-check that all documents are attached and formatted correctly before submitting.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SAS, SQL, Python, or R during the interview. Be prepared to discuss specific projects where you've used these tools, especially in relation to scorecard development and credit risk strategies.
✨Demonstrate Your Analytical Mindset
Since the role involves re-developing statistical models and providing insights into customer trends, be ready to share examples of how you've approached complex data analysis in the past. Discuss your thought process and the impact of your findings.
✨Prepare for Stakeholder Interaction
As collaboration with external stakeholders is key, think of instances where you've successfully communicated analytical insights to non-technical audiences. This will show your ability to bridge the gap between data and business strategy.
✨Emphasise Leadership Experience
Given that prior management experience is essential, prepare to discuss your leadership style and how you've guided teams in previous roles. Highlight any successful projects where you led a team to achieve significant results.
