Open Roles at M-KOPA Solar

• You'll be joining a newly established team that's rapidly expanding our credit and underwriting capabilities. We are looking for someone who loves analyzing complex data and solving challenging, ambiguous data problems — if that sounds like you, you might be a fit!

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
• This role can be remote or hybrid, but candidates must be located within our time zones (UTC -1 to UTC+3) to ensure effective collaboration with teams across our multiple locations.

Your application should demonstrate:

• 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

go to method of application »

• You'll be joining a newly established team that's rapidly expanding our credit and underwriting capabilities. We are looking for someone who loves analyzing complex data and solving challenging, ambiguous data problems — if that sounds like you, you might be a fit!

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
• This role can be remote or hybrid, but candidates must be located within our time zones (UTC -1 to UTC+3) to ensure effective collaboration with teams across our multiple locations.

Your application should demonstrate:

• 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

go to method of application »

• You'll be joining a newly established team that's rapidly expanding our credit and underwriting capabilities. We are looking for someone who loves analyzing complex data and solving challenging, ambiguous data problems — if that sounds like you, you might be a fit!

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
• This role can be remote or hybrid, but candidates must be located within our time zones (UTC -1 to UTC+3) to ensure effective collaboration with teams across our multiple locations.

Your application should demonstrate:

• 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

go to method of application »

• Although coding is not required for this role, we're looking for someone with a growth mindset who is curious to learn software development fundamentals and excited by the opportunity to contribute to our event-driven microservices that extend Dynamics 365 capabilities.

In this role, you would be responsible for:

• Managing end-to-end implementations of Microsoft Dynamics 365 F&O solutions, from requirements gathering to post-go-live support
• Designing and configuring Supply Chain Management modules including warehouse management, inventory, logistics, procurement, and manufacturing
• Architecting Finance modules including landed cost, invoicing, tax compliance, and financial reporting
• Driving digital transformation of operations through D365 optimization and automation initiatives
• Serving as the Dynamics 365 expert, advising teams on optimal platform utilization and integration strategies
• Collaborating with Product Managers and Engineers to translate business requirements into technical solutions
• Ensuring inventory management meets financial and audit compliance requirements through proper system configuration
• Providing training and support to end-users across warehouse operations, finance, and other business units

This is a fully remote role reporting to the Head of Engineering - Acquisition Sales and working within the UTC -1 through UTC+3 time zones.

Your application should demonstrate:

• 5+ years designing, configuring, and deploying Microsoft D365 Finance & Operations solutions
• Strong background in ERP concepts including supply chain, warehouse management, inventory, and finance operations
• Experience managing complex stock movements, reverse logistics, and repair tracking systems
• Proven track record of end-to-end D365 F&O implementations from requirements gathering to post-go-live support
• Experience with multi-phase, multi-country, enterprise-wide implementations
• Ability to work with diverse, distributed teams across multiple countries
• Strong analytical and problem-solving skills with experience in data-driven decision making
• Experience with agile methodologies and cross-functional team collaboration
• Nice to have: Microsoft Dynamics 365 certifications (MB-300, MB-330), experience with Power BI/SSRS, background in financial services or emerging markets