At a Glance
- Tasks: Analyse data to improve loan eligibility and develop new offers.
- Company: M-KOPA is a fast-growing company transforming financial partnerships in Africa.
- Benefits: Enjoy remote work, flexible hours, and diverse development opportunities.
- Other info: Fully remote role with a diverse team across multiple countries.
- Why this job: Make a real impact while working in a supportive, innovative team culture.
- Qualifications: Strong analytical skills and experience with SQL; data science knowledge is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Product Analyst - Credit Eligibility role at M-KOPA 2 weeks ago Be among the first 25 applicants Join to apply for the Product Analyst - Credit Eligibility role at M-KOPA We are looking for an Eligibility Product Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers. This role offers the opportunity to drive significant customer and business impact. You will be a member of a small team with the big responsibility of continuously improving M-KOPA’s loan offers and eligibility criteria, in order to drive growth while managing credit losses and margins. You\'ll work cross-functionally with engineers, data scientists, other analysts, growth managers, and commercial stakeholders across multiple countries. About Us We foster a low-ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact. Our team values psychological safety and takes a discovery-first approach to problem solving. You\'ll be empowered to make data-driven decisions and clear cases for prioritization of solutions in a domain that you have a high degree of ownership over. We are looking for someone who loves analyzing complex data and solving challenging, ambiguous data problems — if that sounds fun to you, you might be a fit! Working on a team, you will determine M-KOPA’s loan eligibility criteria and develop our loan offers and pricing, to ensure that we are offering loans that customers want and can afford while also achieving our business growth objectives. This is a fully remote role , you would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. Expertise In this role, you would be responsible for: Analyzing M-KOPA’s repayments data and other data to continuously improve our loan eligibility criteria Developing new loan offers and pricing based on customer demand and credit analysis Monitoring the credit performance of your loans to identify where we need to adjust eligibility criteria and/or pricing Testing the predictiveness of new data sets for the purposes of eligibility criteria Testing new types of loans to understand customer demand and credit performance Working with engineers to implement changes to our eligibility criteria Working with data scientists to leverage machine learning models as part of loan eligibility decisions Your application should demonstrate: Several years in roles with significant analysis components Strong analytical skills, including the ability to conduct your own analysis of unstructured data Ability to write your own SQL queries and source your own data sets Proven ability in solving ambiguous / high-level analytical problems Strong data communication skills — written, oral, and visual Ability to work with diverse, distributed teams across multiple countries Strong interpersonal and collaboration skills (Nice to have) Experience with data science models Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility. Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com . Recognized thrice by the Financial Times as one Africa\'s fastest growing companies (2022, 2023 and 2024) and by TIME100 Most influential companies in the world 2023 and 2024 , we\'ve served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa. Important Notice M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply. M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships. M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Referrals increase your chances of interviewing at M-KOPA by 2x Get notified about new Product Analyst jobs in London, England, United Kingdom . 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Product Analyst - Credit Eligibility in London employer: M Kopa
M-KOPA is an exceptional employer that champions a low-ego, collaborative work culture where diversity and innovation thrive. With a fully remote setup, employees enjoy the flexibility to work from various locations while benefiting from comprehensive development programmes and family-friendly policies. Join us in making a meaningful impact as we empower individuals across Africa with transformative financial solutions.
Contact Details:
M Kopa Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst - Credit Eligibility in London
✨Tip Number 1
Familiarise yourself with M-KOPA's mission and values. Understanding their focus on transformative financial partnerships will help you align your answers during interviews and demonstrate your enthusiasm for their goals.
✨Tip Number 2
Brush up on your SQL skills, as the role requires writing your own queries. Practising with real datasets can give you a solid edge, showing that you're ready to dive into data analysis from day one.
✨Tip Number 3
Network with current or former employees of M-KOPA on platforms like LinkedIn. They can provide insights into the company culture and the specific challenges faced in the Product Analyst role, which can be invaluable during your interview.
✨Tip Number 4
Prepare to discuss your experience with ambiguous data problems. Think of examples where you've successfully navigated complex analyses, as this aligns perfectly with what M-KOPA is looking for in a candidate.
We think you need these skills to ace Product Analyst - Credit Eligibility in London
Strong Analytical Skills
SQL Query Writing
Data Analysis
Problem-Solving Skills
Data Communication Skills
Collaboration Skills
Experience with Unstructured Data
Understanding of Credit Analysis
Ability to Work Cross-Functionally
Familiarity with Machine Learning Models
Adaptability in Ambiguous Situations
Interpersonal Skills
Experience in Financial Services
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience and skills that align with the Product Analyst role at M-KOPA. Focus on your analytical skills, experience with SQL, and any previous roles involving data analysis.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data analysis and how it relates to M-KOPA's mission. Mention specific examples of how you've solved complex data problems in the past and how you can contribute to their team.
Showcase Your Analytical Skills:Provide concrete examples of your analytical work in your application. Discuss any experience you have with unstructured data, credit analysis, or developing loan offers, as these are key components of the role.
Highlight Collaboration Experience:Since the role involves working cross-functionally, emphasise your ability to collaborate with diverse teams. Share examples of successful projects where you worked with engineers, data scientists, or other stakeholders.
How to prepare for a job interview at M Kopa
✨Showcase Your Analytical Skills
As a Product Analyst, your ability to analyse complex data is crucial. Prepare examples of past projects where you successfully tackled ambiguous data problems and highlight the impact of your analysis on business decisions.
✨Demonstrate SQL Proficiency
Since the role requires writing SQL queries, brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL in previous roles to source and manipulate data effectively.
✨Emphasise Collaboration Experience
M-KOPA values teamwork across diverse teams. Share experiences where you collaborated with engineers, data scientists, or other stakeholders to achieve a common goal, showcasing your interpersonal skills.
✨Prepare for Data Communication
Strong data communication skills are essential. Practice explaining complex data insights in simple terms, both verbally and visually. Consider preparing a brief presentation or visual aid to demonstrate your ability to convey information clearly.
