Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us to build automated decisioning tools and analyse credit risk models.
- Company: A top financial services firm focused on exceptional customer service and inclusivity.
- Benefits: Enjoy remote work options, competitive salary, and a supportive work culture.
- Why this job: Make a real impact in the financial industry while growing your skills in a diverse environment.
- Qualifications: Experience in decisioning systems, strong analytical skills, and proficiency in SQL/SAS required.
- Other info: Applicants must be eligible to work in the UK without sponsorship.
The predicted salary is between 39600 - 66000 £ per year.
A leading financial services company is looking for a Senior Credit Decisioning Analyst to join their team. This company is dedicated to providing exceptional service to its customers and is passionate about making a difference in the financial industry. They are committed to creating a positive and inclusive work environment that values diversity and encourages personal and professional growth.
Key Responsibilities of the Senior Credit Decisioning Analyst:
- Build and maintain leading automated decisioning tools and credit risk models.
- Test and document all decisioning system changes, ensuring a high standard of test practices are implemented and adhered to.
- Identification and investigation including data analysis required to support change or incident management.
- Support delivery of automated decision operational procedures required dependent on outcome of the automated decision.
- Ensure all credit risk policies and strategies are clearly documented and maintained.
- Work with stakeholders across the business, as well as external suppliers, to define business change requirements and provide challenge where necessary.
Required knowledge and experience for the Senior Credit Decisioning Analyst role:
- Previous experience working in a decisioning background and maintaining a decisioning system.
- Experience in system testing, including building test plans.
- Continuous improvement mindset and always looking for ways to improve processes.
- Highly numerate with excellent analytical skills.
- Ability to communicate (written and verbal) complex topics in a straightforward manner including clear documentation of strategy.
- Advanced Excel.
- Experience using SQL / SAS essential with Python an advantage.
- High attention to detail and high level of accuracy.
- Excellent analytical and problem-solving skills.
- A self-motivated, logical and organised approach.
- A flexible and proactive approach with the ability to work under the pressure of deadlines.
- Ability to work as part of a team.
Applicants must be located and eligible to work in the UK without sponsorship.
Senior Credit Decisioning Analyst employer: MERJE
Contact Detail:
MERJE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Credit Decisioning Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in credit decisioning systems. Understanding the current technologies and methodologies used in the industry will help you stand out during discussions with potential employers.
✨Tip Number 2
Network with professionals in the financial services sector, especially those involved in credit risk and decisioning. Attend relevant webinars or local meetups to build connections that could lead to job opportunities.
✨Tip Number 3
Brush up on your SQL and SAS skills, as these are essential for the role. Consider taking online courses or working on personal projects that allow you to demonstrate your proficiency in these areas.
✨Tip Number 4
Prepare to discuss your experience with automated decisioning tools and credit risk models in detail. Be ready to share specific examples of how you've contributed to process improvements or system testing in previous roles.
We think you need these skills to ace Senior Credit Decisioning Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in decisioning systems and credit risk models. Use specific examples that demonstrate your analytical skills and familiarity with tools like SQL, SAS, and Excel.
Craft a Strong Cover Letter: Write a cover letter that reflects your passion for the financial industry and your commitment to providing exceptional service. Mention how your previous experiences align with the key responsibilities of the Senior Credit Decisioning Analyst role.
Showcase Your Analytical Skills: In your application, emphasise your analytical abilities and problem-solving skills. Provide examples of how you've successfully implemented automated decisioning tools or improved processes in past roles.
Follow Up: After submitting your application, consider sending a polite follow-up email if you haven't heard back within a couple of weeks. This shows your enthusiasm for the position and keeps you on their radar.
How to prepare for a job interview at MERJE
✨Showcase Your Analytical Skills
As a Senior Credit Decisioning Analyst, you'll need to demonstrate your analytical prowess. Be prepared to discuss specific examples of how you've used data analysis to drive decision-making in previous roles. Highlight any experience with SQL, SAS, or Python, as these are crucial for the position.
✨Understand the Company’s Values
This financial services company values exceptional customer service and inclusivity. Research their mission and values, and be ready to explain how your personal values align with theirs. This will show that you're not just looking for a job, but a place where you can contribute positively.
✨Prepare for Technical Questions
Expect technical questions related to decisioning systems and testing practices. Brush up on your knowledge of automated decisioning tools and credit risk models. Being able to articulate your understanding of these concepts will set you apart from other candidates.
✨Demonstrate a Continuous Improvement Mindset
The role requires a continuous improvement mindset. Be ready to discuss instances where you've identified inefficiencies in processes and implemented changes. This shows that you're proactive and committed to enhancing operational effectiveness.
