Recruitment at M-KOPA

M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go “PayGo’” solar energy for off grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.

We are recruiting to fill the position below:

Job Title: Customer Insight Associate

Location: Nigeria
Employment Type: Full time
Department: Fintech Technology

Description

• Join our expanding Customer Insights team! We’re actively recruiting a Customer Insight Associate as we continue to scale our research capabilities at M-KOPA.
• You’ll be the voice of our customers, conducting field research and generating insights that directly shape how we serve millions of Every Day Earners across Africa.

The Impact

• Your research will directly influence the products, services, and experiences we build for millions of customers. We’ve already helped over 7 million customers access over $2 billion in credit.
• Through your surveys, focus groups, and field studies, you’ll uncover the real needs, pain points, and aspirations of Africa’s Every Day Earners – turning their voices into actionable insights that drive meaningful change across our business.

The Opportunity

• Mission-driven research: Your insights will directly inform decisions that advance financial inclusion for millions of underserved customers
• Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022-2025)
• Scale challenges: Generate insights across 4 markets (Kenya, Uganda, Nigeria, Ghana) serving 3 million active customers and 35,000 agents
• Environmental impact: We’re carbon-negative, having displaced over 2.1 million tonnes of emissions

What You’ll Do

• At M-KOPA, you’ll conduct end-to-end research execution that brings customer voices directly to our product and business teams.
• Our Customer Insights team owns research from design to delivery—from survey creation to field studies to insight presentations. Join us in combining rigorous research methods with purpose-driven inquiry that makes digital and financial inclusion possible across Africa.
• 70% of your time will be spent conducting research in the field and remotely:
  • Design and conduct research surveys via phone, SMS, and other platforms to understand customer behaviour, pain points, and market dynamics
  • Facilitate focus groups with customers, agents, and prospective customers to drive deep insights on key business questions
  • Conduct customer shadowing and observational studies to identify pain points and gather authentic customer stories
  • Engage directly with Every Day Earners to understand their needs, feedback, and sentiments
• 30% of your time will focus on capturing and communicating insights:
  • Document customer data and sentiments accurately using survey tools, spreadsheets, presentations, photos, and videos
  • Support the testing and release of new products through field observation and customer feedback
  • Coordinate field visit logistics for customer and agent shadowing activities

Your Research Environment
Research Platforms & Tools:

• Survey tools: Dooblo, Google Forms, Survey Monkey
• Analysis & communication: Excel, Word, PowerPoint
• Data capture: Photos, videos, field notes

Research Methodologies:

• Phone and SMS surveys
• In-person focus groups
• Customer shadowing and observation
• Agent interviews and feedback sessions
• Post-launch product validation studies

Markets:

• Kenya, Uganda, Nigeria, Ghana & South Africa
• Urban and peri-urban environments
• Remote and field-based research

Our Research Approach
Our 12-member Customer Insights team operates with these core principles:

• Customer-centric inquiry: We start every research question by deeply understanding our customers’ context, challenges, and aspirations—recognising that Every Day Earners have unique needs that traditional research often overlooks
• Evidence-based influence: Our insights directly inform executive decisions and product strategy across all M-KOPA markets, giving you real impact on business direction
• End-to-end ownership: From problem definition to insight delivery, you’ll own your research projects and see your work translate into tangible product and service improvements
• Cross-functional collaboration: We work closely with product, operations, and market teams across Kenya, Uganda, Nigeria, South Africa, and Ghana to ensure insights drive action
• Field-first mindset: We believe the best insights come from spending time with customers in their environment—through shadowing, observation, and authentic conversation

What You Need

• You’ll conduct field research, facilitate focus groups, and run surveys that uncover what our customers truly need—then translate those findings into insights that shape M-KOPA’s future.
• We’re looking for someone who combines strong research execution skills with genuine curiosity about people’s lives and the ability to tell compelling stories with data.

Required Experience:

• Proven hands-on experience conducting research surveys via phone, SMS, or other platforms to understand customer behaviour, pain points, and market dynamics. You can independently run surveys, focus groups, and field studies.
• Ability to use research platforms and tools like Dooblo, Google Forms, Survey Monkey and Excel, Word, PowerPoint to design, run, and analyse surveys and present insights clearly.
• Ability to conduct field research, including facilitating focus groups, customer shadowing, and observational studies to gather deep insights into customer behaviour and pain points.

Location & Benefits

• Hybrid role based in Nigeria
• Work with diverse teams across UK, Europe, and Africa
• Professional development programs and coaching partnerships
• Family-friendly policies and flexible working arrangements
• Well-being support and career growth opportunities.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Research Associate – Customer Insights

Location: Nigeria
Employment Type: Full time
Department: Fintech – Technology

About the Job

• We’re seeking a Research Associate with field research experience to join our 12-member Customer Insights team. This is a hands-on research execution role where you’ll design research studies, conduct surveys, facilitate focus groups, and generate insights that inform product strategy across M-KOPA’s African markets.
• This is a research role focused on survey design, data collection, analysis, and insight generation to help us better understand and serve our customers across Africa.
• The Impact Your research will directly influence the products, services, and experiences we build for millions of customers. We’ve already helped over 7 million customers access over $2 billion in credit. Through your surveys, focus groups, and field studies, you’ll uncover the real needs, pain points, and aspirations of Africa’s Every Day Earners – turning their voices into actionable insights that drive meaningful change across our business.

The Opportunity

• Mission-driven research: Your insights will directly inform decisions that advance financial inclusion for millions of underserved customers
• Global recognition: Join a company named by TIME 100 as one of the world’s most influential and by the Financial Times as Africa’s fastest-growing for 4 consecutive years (2022-2025)
• Scale challenges: Generate insights across 4 markets (Kenya, Uganda, Nigeria, Ghana) serving 3 million active customers and 35,000 agents
• Environmental impact: We’re carbon-negative, having displaced over 2.1 million tonnes of emissions

What We’re Looking For
We’re looking for candidates with research execution experience:

• Field Research Experience: Track record conducting customer research projects including focus groups, in-depth interviews, customer shadowing, and observational studies. Ability to independently plan and execute field research.
• Survey Design & Execution: Hands-on experience designing and running research surveys via phone, SMS, or digital platforms. Proficiency with survey tools (Dooblo, Google Forms, Survey Monkey) and ability to manage survey projects from design to completion.
• Research Analysis Skills: Ability to analyse both qualitative and quantitative research data, identify patterns and themes, synthesise insights, and present findings clearly using Excel, PowerPoint, and other tools.

What You’ll Do Daily
70% Research Execution

Survey Research:

• Design research surveys and questionnaires to investigate specific customer behaviour, pain points, and needs
• Conduct phone and SMS-based research surveys with customers and agents
• Manage survey programming, data collection, and quality control

Qualitative Field Research:

• Plan and facilitate focus group discussions with 6-10 participants
• Conduct customer shadowing and ethnographic observation in urban and peri-urban areas
• Execute in-depth interviews and contextual inquiries
• Document field observations through photos, videos, and field notes

Research Coordination:

• Develop research plans and methodologies for specific business questions
• Coordinate field research logistics including participant recruitment and scheduling
• Ensure research rigour and methodological quality

30% Analysis & Insight Communication:

• Analyse qualitative data from interviews, focus groups, and observations
• Synthesise quantitative survey data to identify trends and patterns
• Create insight presentations and research reports for product teams and leadership
• Translate research findings into actionable recommendations
• Support product testing through user observation and feedback collection

Your Research Environment:
Research Tools & Platforms You’ll Use:

• Survey platforms: Dooblo, Google Forms, Survey Monkey
• Analysis tools: Excel, PowerPoint, Word
• Documentation: Photos, videos, field notes, audio recordings

Research Methods:

• Structured and semi-structured surveys (phone, SMS, digital)
• Focus group facilitation
• Ethnographic observation and shadowing
• In-depth interviews
• Usability testing and product validation studies

Research Settings:

• Field research in Lagos and surrounding areas
• Remote research via phone and digital channels
• Urban and peri-urban customer environments

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Analyst – Credit Eligibility

Location: Nigeria (Remote)
Employment Type: Full time
Department: Product Management

Description

• We are looking for a Product / Business Data Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.
• This role offers the opportunity to directly impact millions of customers’ access to credit by building underwriting frameworks.
• 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.

Responsibilties
In this role, you would be responsible for:

• Analyzing M-KOPA’s repayments data and other data sources to continuously improve our loan eligibility criteria while managing credit risk.
• Refining loan pricing based on credit analysis and customer behavior.
• Testing new types of loans to understand customer demand and credit performance.
• Monitoring credit performance to detect risk shifts and quantify margin impact.
• Testing the predictiveness of new data sets for the purposes of eligibility criteria.
• Using Python, SQL, and other tools for data analysis to drive insights.
• Working with data scientists to leverage machine learning models as part of loan eligibility decisions.

Requirements
Your application should demonstrate:

• Candidates should possess relevant qualifications.
• Several years in roles with significant analytical components.
• Strong statistical modeling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data.
• Fluency in Python, SQL, and other relevant tools for data analysis.
• Experience translating complex data insights into actionable business strategies.
• Ability to work cross-functionally with product, engineering, and commercial teams.
• Strong data communication skills — written, oral, and visual.
• Strong interpersonal and collaboration skills.
• (Nice to have) Experience in credit, underwriting, or lending analytics

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Business Analyst – Credit Eligibility

Location: Nigeria (Remote)
Employment Type: Full time
Department: Product Management

Description

• We are looking for a Product / Business Data Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.
• This role offers the opportunity to directly impact millions of customers’ access to credit by building underwriting frameworks.
• 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.

Responsibilties
In this role, you would be responsible for:

• Analyzing M-KOPA’s repayments data and other data sources to continuously improve our loan eligibility criteria while managing credit risk.
• Refining loan pricing based on credit analysis and customer behavior.
• Testing new types of loans to understand customer demand and credit performance.
• Monitoring credit performance to detect risk shifts and quantify margin impact.
• Testing the predictiveness of new data sets for the purposes of eligibility criteria.
• Using Python, SQL, and other tools for data analysis to drive insights.
• Working with data scientists to leverage machine learning models as part of loan eligibility decisions.

Requirements
Your application should demonstrate:

• Candidates should possess relevant qualifications.
• Several years in roles with significant analytical components.
• Strong statistical modeling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data.
• Fluency in Python, SQL, and other relevant tools for data analysis.
• Experience translating complex data insights into actionable business strategies.
• Ability to work cross-functionally with product, engineering, and commercial teams.
• Strong data communication skills — written, oral, and visual.
• Strong interpersonal and collaboration skills.
• (Nice to have) Experience in credit, underwriting, or lending analytics

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Product Analyst – Eligibility

Location: Nigeria (Remote)
Employment Type: Full time
Department: Product Management

Description

• We are looking for a Product/Business Data Analyst to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers.
• This role offers the opportunity to directly impact millions of customers’ access to credit by building underwriting frameworks.
• 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.

Responsibilities
In this role, you would be responsible for:

• Analyzing M-KOPA’s repayments data and other data sources to continuously improve our loan eligibility criteria while managing credit risk.
• Refining loan pricing based on credit analysis and customer behavior.
• Testing new types of loans to understand customer demand and credit performance.
• Monitoring credit performance to detect risk shifts and quantify margin impact.
• Testing the predictiveness of new data sets for the purposes of eligibility criteria.
• Using Python, SQL, and other tools for data analysis to drive insights.
• Working with data scientists to leverage machine learning models as part of loan eligibility decisions.

Requirements
Your application should demonstrate:

• Candidates should possess relevant qualifications.
• Several years in roles with significant analytical components.
• Strong statistical modeling and quantitative analysis skills, including the ability to conduct your own analysis of unstructured data.
• Fluency in Python, SQL, and other relevant tools for data analysis.
• Experience translating complex data insights into actionable business strategies.
• Ability to work cross-functionally with product, engineering, and commercial teams.
• Strong data communication skills — written, oral, and visual.
• Strong interpersonal and collaboration skills.
• (Nice to have) Experience in credit, underwriting, or lending analytics.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online