Senior Data Scientist (Credit)

About the Role

We are seeking a data-driven, impact-oriented Senior Data Scientist to power Moniepoint’s consumer lending decisions at scale.

You will build the models, experiments, and insights that shape how we acquire, underwrite, and retain millions of customers across Nigeria and Africa.

This role is pivotal in driving our pricing, credit limit modelling, and credit model deployment strategy in a growing business with unparalleled opportunities to give access to millions of customers.

You’ll collaborate with our amazing Consumer Credit team and drive how we think about risk ranking, product offering, and data infrastructure to create the best personalised offers for our customers.

You’ll be responsible for building our first suite of credit risk models and help drive a culture of how we should think about machine learning vs more traditional methods - bringing fresh thinking to inspire both the team and our customers.

Sitting at the intersection of data science, credit risk, and product, you’ll translate complex data into actionable decisions that drive growth with healthy portfolio performance.

What You’ll Do

Develop and deploy 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.

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 we can offer you

Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits.

What to expect in the hiring process

A preliminary phone call with the recruiter.

A coding exercise on HackerRank - covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms).

A take-home assignment.

A technical interview with a Lead in our Data Science Team to review your take-home assignment in depth.

A behavioural and technical interview with the hiring manager.

go to method of application »

Minimum qualifications

BA/BSc/HND

How to apply

Use the link(s) below to apply on company website.

Senior Data Scientist (Credit)

Data Entry Officer (Edo)

Workforce Business Partner (South South)

Workforce Business Partner (South East)

Workforce Business Partner (North West)

Workforce Business Partner (North Central)

Workforce Business Partner (North East)

Workforce Business Partner (Lagos)

https://www.myjobmag.com/apply-now/1375151

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