Data Science Manager (Credit)

Moniepoint Group; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Pension plans

Performance bonuses

Job summary

Moniepoint Group is hiring a Data Science Manager (Credit) to lead consumer credit data science efforts in a high-growth environment. You will own pricing, credit limit modelling and production deployment, influencing decisions that affect millions of customers.

You will partner with Consumer Credit, Product and Engineering to shape risk assessment, pricing, and portfolio performance, building analytics foundations across underwriting, acquisition and retention at scale.

Qualifications

• Degree in statistics, mathematics, engineering or a similar quantitative field.
• 5+ years in data science, decision science or risk analytics within financial services, including 2+ years in a managerial role.
• 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 business recommendations.
• Strong ownership and ability to work in fast-paced, cross-functional teams.

Responsibilities

• Develop credit scoring, affordability and behavioural models for 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 decisioning processes.
• Mentor product squads on experimentation and data-driven decision making.
• Provide models to optimise outcomes in collections, churn management and retention.

Skills

Statistics

Data science experience

SQL

Python

R

A/B testing

Machine learning

Collections modelling

Churn management

Regulatory considerations

Communication of analyses

Cross-functional collaboration

Education

Degree in statistics or quantitative field

Job description

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Data Science Manager (Credit)

Who we are

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. Sitting at the intersection of data science, credit risk, and product, you’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.

• 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 managerment
• 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.