At a Glance
- Tasks: Analyse data to shape credit risk decisions impacting millions in Africa.
- Company: M-KOPA, a leader in transformative financial services with a commitment to diversity.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a diverse team dedicated to innovation and inclusion.
- Why this job: Make a real difference in financial accessibility while working with cutting-edge analytics.
- Qualifications: Strong statistical modelling skills, fluency in Python and SQL, and lending analytics experience.
The predicted salary is between 50000 - 65000 € per year.
M-KOPA, based in the UK, is seeking a Senior Analyst for its Credit Eligibility team. In this fully remote position, you will shape credit risk and eligibility decisions affecting millions across Africa. Your role will include data analysis, refining loan pricing, and cross-functional collaboration.
The ideal candidate will have:
- Strong statistical modelling skills
- Fluency in Python and SQL
- Experience in lending analytics
M-KOPA is renowned for its transformative financial services and is committed to diversity and inclusion.
Senior Credit Risk & Eligibility Analyst — Remote in Manchester employer: M Kopa
M-KOPA is an exceptional employer that champions diversity and inclusion while offering a fully remote work environment, allowing you to make a significant impact on credit risk decisions for millions across Africa. With a strong focus on employee growth, M-KOPA provides opportunities for professional development and collaboration within a dynamic team, making it a rewarding place to advance your career in lending analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Credit Risk & Eligibility Analyst — Remote in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the credit risk and lending analytics space. Use LinkedIn to connect with current M-KOPA employees or alumni from your university. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got strong statistical modelling skills, Python, and SQL under your belt, consider creating a portfolio of projects. Share these on platforms like GitHub to demonstrate your expertise and make your application stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your data analysis techniques. Be ready to discuss how you've used data to influence credit risk decisions in the past. We want to see your thought process and how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining M-KOPA and being part of their mission to transform financial services.
We think you need these skills to ace Senior Credit Risk & Eligibility Analyst — Remote in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Analyst role. Highlight your statistical modelling skills, Python and SQL fluency, and any relevant lending analytics experience to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about credit risk and how your background makes you a perfect fit for M-KOPA. Don’t forget to mention our commitment to diversity and inclusion!
Showcase Your Data Skills:Since data analysis is key in this role, consider including specific examples of projects where you've used data to drive decisions. This will help us see your analytical prowess in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at M Kopa
✨Know Your Numbers
Brush up on your statistical modelling skills and be ready to discuss specific examples of how you've used data analysis in previous roles. M-KOPA is looking for someone who can make informed credit risk decisions, so showcasing your analytical prowess will definitely impress.
✨Python and SQL Proficiency
Make sure you’re comfortable with Python and SQL, as these are key tools for the role. Prepare to answer technical questions or even solve a problem on the spot. Practising coding challenges beforehand can help you feel more confident during the interview.
✨Understand the Company’s Mission
Familiarise yourself with M-KOPA's mission and values, especially their commitment to diversity and inclusion. Be prepared to discuss how your personal values align with theirs and how you can contribute to their transformative financial services.
✨Collaboration is Key
Since the role involves cross-functional collaboration, think of examples where you've successfully worked with different teams. Highlight your communication skills and how you’ve navigated challenges in a remote setting, as this will show you’re a great fit for their team-oriented culture.
