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- Tasks: Join a fintech team to build and validate innovative credit models.
- Company: A fast-growing fintech in London, revolutionising the credit risk landscape.
- Benefits: Enjoy a competitive salary, bonuses, and excellent perks.
- Why this job: Be part of a dynamic culture, creating groundbreaking solutions in finance.
- Qualifications: Experience in credit modelling, programming (Python/R), and SQL is essential.
- Other info: Opportunity to work independently in a rapidly evolving business environment.
The predicted salary is between 43200 - 72000 £ per year.
Our client, a dynamic, rapidly growing fintech requires a senior underwriter/credit risk modeller to come and join their growing team in the South East.
Key Responsibilities:
Building and validating credit models both for origination and lifecycle monitoring. This will include developing scorecards, building open banking forecasting models and developing a decision engine.
Responsible for running forecasting and stress testing analyses, across different portfolio products and segments, covering data analytics, modelling and engagement with stakeholders.
Monitoring credit processes, with the aim to develop and automate existing processes to help establish a robust credit risk framework.
Able to assist the underwriting team when required.
Key Requirements:
Experience in model building, with a background in commercial credit risk underwriting, ideally with experience using Open Banking data.
Experience with using external statistics to enhance model predictability.
A logical thinker, with experience using programming language(s), such as Python or R. Good knowledge of SQL and advanced techniques in Excel would be an advantage.
The desire to create something unique and ground‐breaking in the marketplace.
The drive to work independently and find your place within a rapidly growing business.
Desired experience:
Experience in building credit models, with a background in unsecured business lending, ideally to SMEs and underwriting alternative financial products.
Experience in modelling languages (for example Python or R) is essential to help drive the move to an automated decision engine. Experience in using Open Banking in credit decisioning for businesses would also be beneficial.
The successful candidate will be rewarded with a market leading salary + bonus + excellent benefits package.
For more information about this role or any of our vacancies call 01625 522 774 or email jobs@m2recruit.co.uk.
M2 Professional Recruitment ServicesTel: 01625 522 774Fax: 01625 523 377jobs@m2recruit.co.ukwww.m2recruit.co.uk
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Credit Risk Modeller – Fintech London employer: Business Money Promotions Ltd
Contact Detail:
Business Money Promotions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Modeller – Fintech London
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk modelling, especially in fintech. Understanding how Open Banking data is being used can give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the fintech space, particularly those involved in credit risk. Attend industry events or webinars to make connections and gain insights that could be beneficial for your application.
✨Tip Number 3
Brush up on your programming skills, particularly in Python or R. Being able to demonstrate your coding abilities in practical scenarios can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of your past work in model building and stress testing. Having concrete cases ready will show your expertise and readiness to contribute to our team.
We think you need these skills to ace Credit Risk Modeller – Fintech London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk modelling and underwriting. Emphasise any specific projects where you've built or validated credit models, especially using Open Banking data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech and your desire to create innovative solutions. Mention your programming skills in Python or R and how they relate to the role, as well as your experience with SQL and Excel.
Showcase Relevant Experience: When detailing your work history, focus on roles that involved model building and data analytics. Highlight any experience with stress testing analyses and stakeholder engagement, as these are key responsibilities of the position.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail, particularly your experience with programming languages and credit risk frameworks. Consider preparing examples of how you've used these skills in past roles to demonstrate your expertise.
How to prepare for a job interview at Business Money Promotions Ltd
✨Showcase Your Modelling Skills
Be prepared to discuss your experience in building credit models. Highlight specific projects where you've developed scorecards or forecasting models, especially using Open Banking data. This will demonstrate your technical expertise and relevance to the role.
✨Demonstrate Analytical Thinking
Since the role requires logical thinking and data analysis, be ready to explain your thought process when tackling complex problems. Use examples from your past work to illustrate how you approached challenges in credit risk modelling and decision-making.
✨Familiarise Yourself with the Company
Research the fintech company and its products. Understanding their market position and how they utilise credit risk models will help you tailor your responses and show genuine interest in contributing to their success.
✨Prepare for Technical Questions
Expect questions related to programming languages like Python or R, as well as SQL and Excel techniques. Brush up on these skills and be ready to discuss how you've applied them in previous roles, particularly in automating processes or enhancing model predictability.
