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Product Analyst Eligibility

We are looking for an Eligibility Product Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.

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 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 prioritisation of solutions in a domain that you have a high degree of ownership over.

We are looking for someone who loves analysing complex data and solving challenging, ambiguous data problems — if that sounds fun to you, you might be a fit!

For Remote roles:

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:

  • Analysing 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.

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Average salary estimate

$65000 / YEARLY (est.)
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$50000K
$80000K

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What You Should Know About Product Analyst Eligibility, M-KOPA

M-KOPA is excited to welcome a new Eligibility Product Analyst to our dynamic team in Nairobi! In this role, you will be at the forefront of shaping our loan eligibility criteria and designing innovative loan offers that not only align with our customers' needs but also support our business growth objectives. Working within a collaborative team, you'll analyze repayment data, monitor credit performance, and develop new pricing strategies to ensure our products meet customer demands while managing risks effectively. Who doesn't love knowing that their work can drive significant impact for customers and the business? If you're passionate about unpacking complex data and tackling ambiguous challenges, this role was made for you! At M-KOPA, we foster an environment that values collaboration, innovation, and a discovery-first approach to problem-solving. You'll have the chance to work closely with data scientists, engineers, and growth managers, making data-driven decisions that improve our loan offerings. Plus, we are committed to your development. With access to various growth programs and a supportive work culture, you'll truly own your career here. Join us on our mission to provide transformative financial partnerships, and you’ll be part of a diverse team united by the goal of unlocking opportunities for over five million customers across Africa. Together, we’ll redefine the future of finance at M-KOPA!

Frequently Asked Questions (FAQs) for Product Analyst Eligibility Role at M-KOPA
What are the responsibilities of the Eligibility Product Analyst at M-KOPA?

As the Eligibility Product Analyst at M-KOPA, you will be responsible for analyzing repayments and market data to continuously refine our loan eligibility criteria. Your role will involve developing new loan offers based on customer demand, monitoring credit performance, and collaborating with engineers and data scientists to implement innovative solutions and enhance our decision-making models.

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What qualifications are needed to become an Eligibility Product Analyst at M-KOPA?

To qualify for the Eligibility Product Analyst position at M-KOPA, candidates should hold several years of experience in analytical roles. Strong analytical skills, proficiency in SQL for data querying, and the ability to address complex analytical challenges are essential. Additionally, excellent communication skills, both written and verbal, plus a knack for collaboration with diverse teams, will be critical to your success in this role.

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How does M-KOPA support career growth for its Eligibility Product Analysts?

M-KOPA is dedicated to the growth of its employees, including those in the Eligibility Product Analyst position. We offer various development programs, coaching partnerships, and on-the-job training. Employees are encouraged to take ownership of their career paths, ensuring they have the tools and support needed for professional success.

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What is the work environment like for an Eligibility Product Analyst at M-KOPA?

The work environment at M-KOPA is built on a foundation of diversity, innovation, and collaboration. We promote psychological safety, allowing team members to voice their ideas openly. As an Eligibility Product Analyst, you will work closely with a range of professionals across different countries, fostering a rich and supportive atmosphere aimed at delivering impactful financial solutions.

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What types of data will an Eligibility Product Analyst work with at M-KOPA?

In the role of Eligibility Product Analyst at M-KOPA, you'll work with various types of data, including customer repayments, credit performance statistics, and market analysis data. You’ll also be involved in testing predictive data sets and leveraging machine learning models to enhance loan eligibility decision-making, ultimately driving better outcomes for both the business and our customers.

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Common Interview Questions for Product Analyst Eligibility
How do you approach analyzing complex data sets to make decisions?

Discuss your methodical approach to analyzing data sets, emphasizing your ability to identify patterns, highlight key insights, and make data-driven decisions. Share examples of previous analysis where your findings led to tangible outcomes.

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What tools do you use to analyze data, and how proficient are you in SQL?

Talk about the various tools you've employed for data analysis, such as SQL, Excel, or data visualization tools. Highlight your SQL experience, including specific queries you've written to extract and analyze data for decision-making.

Join Rise to see the full answer
Can you explain a time when you solved a high-level analytical problem?

Provide a detailed account of a significant analytical problem you faced, the steps you took to resolve it, and the final outcome. Use this opportunity to showcase your critical thinking and problem-solving skills.

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How do you prioritize tasks in a fast-paced environment?

Explain your prioritization strategy when working in a high-demand setting. Mention the tools or methodologies you use, such as Agile techniques or ranked task lists, to ensure that critical objectives are met efficiently.

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What do you consider when developing pricing strategies for loan products?

Discuss the factors you take into account, such as customer demand analysis, competition pricing, and risk management strategies. Illustrate your analytical approach in shaping a product that is both attractive and viable for the business.

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How do you communicate complex data findings to non-technical stakeholders?

Emphasize your communication skills by mentioning how you tailor your presentations and reports for non-technical audiences. Share an example where you successfully conveyed complex data insights to drive strategic decisions.

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Describe a collaborative project you've worked on. What role did you play?

Detail a specific project, emphasizing your role and contributions. Highlight your teamwork, communication abilities, and how your analytical insights helped achieve project goals.

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How do you ensure accuracy when analyzing structured and unstructured data?

Share the methods you use to validate data sources and cross-reference results. Stress the importance of attention to detail, thorough checks, and the use of robust analytical techniques.

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What motivates you to work in financial analytics?

Discuss your passion for financial analytics and how it drives your career ambitions. Highlight any personal experiences or values that align with M-KOPA’s mission of promoting financial inclusion.

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When faced with ambiguous data, how do you approach problem-solving?

Describe your thought process when confronted with ambiguity. Explain how you leverage available data, formulate hypotheses, and test solutions until you arrive at a clear conclusion.

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We are a connected financing platform that serves the financially excluded We believe that everyone should have the power to achieve progress in their lives and M-KOPA’s solutions unlock this power. Our financial offerings are designed for the rea...

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DATE POSTED
January 20, 2025

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