At a Glance
- Tasks: Lead data science efforts in consumer credit, building models and optimising decision-making processes.
- Company: Moniepoint, a global fintech revolutionising financial services for millions.
- Benefits: Competitive salary, bonuses, health insurance, and pension plans.
- Other info: Join a diverse team in a fast-paced environment with excellent growth opportunities.
- Why this job: Shape the future of African finance and drive real impact with your work.
- Qualifications: 5+ years in data science, strong statistical background, and management experience.
The predicted salary is between 63000 - 77000 £ per year.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely. Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale. We onboard over a million new customers each month, process 100s of billions of dollars in payments annually, and support tens of millions of users across our ecosystem. Our teams operate in a fast-paced, high-impact environment alongside international leaders from companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide.
If you want to build our data science function from the ground up, work with one of Africa’s highest-scale fintech data sets, and ship products that influence tens of millions of users, this is an exceptional time to join.
About the role
We’re looking for a hands‑on Spain-based Data Science Manager to lead our consumer credit data science efforts in a high‑growth environment. This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment, with direct ownership of decisions that impact millions of customers. You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle.
- Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
- Design and run experiments to optimise approval rates, loss rates, and profitability
- Partner with product squads to embed decision logic into real‑time systems
- Ensure data quality, compliance, and ethical use of models across all decisioning processes
- Mentor product squads on best practices in experimentation and data‑driven decision making
- Provide models to optimise outcomes in collections, churn management and user retention
We would love to hear from you if:
- You’re comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)
- You have +5 years of experience in data science, decision science, or risk analytics within financial services, including +2 years in management
- Working knowledge of credit risk, consumer lending, and regulatory considerations
- Proficiency in SQL and at least one modelling/programming language (Python, R)
- Experience with A/B testing, machine learning, collections modelling and churn management
- Ability to translate complex analyses into clear recommendations for business stakeholders
- High ownership mindset and comfort working in fast‑paced, cross‑functional teams
What Moniepoint Can Offer You:
- The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
- The chance to work on innovative and impactful projects
- A dynamic, diverse, and collaborative environment where every team member’s voice is recognised and valued
- Continuous learning and career growth opportunities
- Competitive salary, individual performance bonuses, and firmwide performance bonus
- The company covered health insurance plans
- Pension plans
What to expect in the hiring process:
- Introductory call with one of our recruiters
- Initial interview with the Director of Data Science
- Take‑home task (hands‑on coding or marketing modelling case study)
- Business case interview with our Head of Marketing Strategy & Data
- Live technical coding interview with the Director of Data Science
- Culture & values interview (60 minutes) with the Director of Data Science
Moniepoint is an equal‑opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
Data Science Manager (Credit) employer: Moniepoint Group
Moniepoint Group is an exceptional employer located in Greater London, offering a dynamic work environment where innovation thrives. With a strong emphasis on employee growth and a supportive culture, team members are encouraged to enhance their skills while contributing to meaningful projects that protect millions. The attractive salary package, including health insurance and bonuses, further underscores our commitment to valuing our employees.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager (Credit)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moniepoint Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Manager (Credit) at Moniepoint Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moniepoint Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager (Credit) at Moniepoint Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Manager (Credit)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moniepoint Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moniepoint Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Moniepoint Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moniepoint Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
