Business Analyst & Credit Eligibility

M Kopa; Greater London; Hybrid; GBP 45,000 - 60,000; Full time

Job summary

A financial services company in Greater London is seeking an Analyst to enhance customer credit accessibility through data analysis. In this role, you'll analyze repayment data and refine loan pricing while collaborating with engineers and data scientists. Exceptional skills in Python and SQL are essential. You will be part of a dynamic team dedicated to transforming lending strategies and improving financial inclusion. The position allows for remote or hybrid work, but candidates must reside within specified time zones.

Benefits

Diverse development programs

Family-friendly policies

Coaching partnerships

Well-being prioritization

Flexibility in work arrangements

Qualifications

• Several years in roles with significant analytical components.
• Strong statistical modeling and quantitative analysis skills.
• Fluency in Python, SQL, and other relevant tools for data analysis.

Responsibilities

• Analyze repayments data to improve loan eligibility criteria.
• Refine loan pricing based on credit analysis and behavior.
• Test new types of loans to understand customer demand.

Skills

Statistical modeling and quantitative analysis

Data communication skills

Python

SQL

Interpersonal and collaboration skills

Tools

Machine learning models

Job description

We are looking for an 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.'

About Us

We're building the future of financial inclusion, and data-driven decision making is at the heart of our mission. Our team combines analytical rigor with deep market understanding to develop loan eligibility and pricing for customers who have traditionally been excluded from formal financial services.

We foster a low-ego environment where diversity, innovation, and collaboration drive both commercial growth and social impact. 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.

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

Credit accessibility and affordability are at the core of this role. You'll join a small, high-performing team where every day brings new problems to solve and analyses that shape our lending strategy. If this excites you, we'd love to hear from you.

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.

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.

Applications for this position will be reviewed on a rolling basis. Shortlisting and interviews will take place at any stage during the recruitment process. We reserve the right to close the vacancy early if a suitable candidate is selected before the advertised closing date.

If your application is successful M-KOPA undertakes pre-employment background checks as part of its recruitment process, these include: criminal records, identification verification, academic qualifications, employment dates and employer references.