Data Science Manager (Credit) at Moniepoint

At Moniepoint, we are dedicated to building modern financial services that empower millions of people and businesses in high-growth markets. Our mission is to foster financial happiness for everyone across Africa by providing reliable tools for payments, banking, and credit. We have already achieved significant scale, processing hundreds of billions of dollars annually and supporting tens of millions of users. As we expand our global footprint, we are looking for passionate individuals to help us solve meaningful, large-scale problems while working alongside a talented, international team.

The role

We are seeking a Data Science Manager to lead our consumer credit initiatives. This is a full-time, senior-level position based in Spain, operating in a remote capacity. In this role, you will take ownership of our credit modelling strategy, including pricing and production deployment. You will be a key leader at the intersection of data science, product, and credit risk, helping us build the foundations that drive our underwriting and portfolio performance.

Core responsibilities

• Develop and maintain robust credit scoring, affordability, and behavioural models to support our underwriting and pricing strategies.
• Design and execute experiments to optimize approval rates, manage loss rates, and improve overall profitability.
• Collaborate closely with product squads to integrate sophisticated decision logic directly into our real-time systems.

Skills and experience

To be successful in this role, you should possess a strong background in quantitative analysis and leadership within the fintech space. We are looking for the following qualifications:

• A degree in a quantitative field such as Statistics, Mathematics, or Engineering.
• At least 5 years of experience in data science or risk analytics within the financial services sector, including 2 years in a management capacity.
• Deep expertise in credit risk, consumer lending, and the associated regulatory landscape.
• Proficiency in SQL and at least one programming language like Python or R.
• Proven experience with machine learning, A/B testing, and collections modelling.
• The ability to communicate complex analytical findings clearly to business stakeholders.

Compensation and benefits

We believe in supporting our team members both professionally and personally. By joining us, you will have access to the following benefits:

• Flexible work location and remote work arrangements.
• Comprehensive medical insurance coverage.
• Dedicated support for your professional development and career growth.

How to apply

If you are ready to apply your expertise to help us shape the future of the financial ecosystem, we would love to hear from you. Please submit your application to be considered for our interview process, which includes a series of technical and cultural assessments designed to help us get to know your skills and values.