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- Tasks: Join a team to build automated decisioning tools and credit risk models.
- Company: A leading financial services company focused on exceptional customer service and inclusivity.
- Benefits: Remote work options and a supportive environment for personal and professional growth.
- Why this job: Make a real impact in the financial industry while working with diverse teams.
- 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.
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 previous experience with automated decisioning tools and credit risk models in detail. Be ready to provide examples of how you've contributed to process improvements or system testing in past 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 Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the financial industry and how your previous experiences align with the responsibilities of the Senior Credit Decisioning Analyst role. Mention your continuous improvement mindset and ability to communicate complex topics clearly.
Highlight Key Skills: Emphasise your experience in system testing and building test plans. Showcase your attention to detail and problem-solving skills, as these are crucial for the role. Be sure to mention any relevant certifications or training.
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 a fit for the role, but also for the company culture.
✨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. Be ready to discuss your experience in building test plans and how you ensure high standards in testing.
✨Demonstrate Your Problem-Solving Approach
The role requires a strong problem-solving mindset. Prepare to discuss challenges you've faced in previous positions and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly convey your thought process.
