Opportunity at
MoniepointSenior Data Scientist (Credit)
Moniepoint Inc. is seeking a Senior Data Scientist for its Consumer Credit team. Operating as an all-in-one financial platform in Africa, the company handles point-of-sale transactions…
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About This Role
Moniepoint Inc. is seeking a Senior Data Scientist for its Consumer Credit team. Operating as an all-in-one financial platform in Africa, the company handles point-of-sale transactions and digital payment values annually while serving millions of individuals and businesses. In this role, the selected candidate will shape consumer lending operations by constructing initial suites of credit risk models, pricing strategies, and credit limit modeling. The position involves working at the intersection…
Job Description
Moniepoint Inc. is seeking a Senior Data Scientist for its Consumer Credit team. Operating as an all-in-one financial platform in Africa, the company handles point-of-sale transactions and digital payment values annually while serving millions of individuals and businesses. In this role, the selected candidate will shape consumer lending operations by constructing initial suites of credit risk models, pricing strategies, and credit limit modeling. The position involves working at the intersection of product, data science, and credit risk to support millions of clients across the African continent. Responsibilities include building machine learning and traditional methods, driving risk ranking approaches, and designing personalized consumer offers.
Responsibilities
- Develop and launch behavioral, affordability, and credit scoring models for collections, pricing, and underwriting
- Create and execute experiments designed to balance profitability, loss rates, and approval rates
- Work alongside product squads to integrate decision logic into real-time systems
- Maintain compliance, data quality, and model ethics across decisioning workflows
- Provide guidance to product teams regarding data-driven decisions and experimentation standards
- Build models aimed at improving user retention, churn management, and collections outcomes
Requirements
- Over five years of professional background in risk analytics, decision science, or data science within the financial services sector
- Familiarity with regulatory considerations, consumer lending, and credit risk
- Strong proficiency in SQL along with at least one programming or modeling language such as R or Python
- Hands-on background with machine learning, A/B testing, churn management, and collections modeling
- Demonstrated ability to convert complex data findings into clear recommendations for business stakeholders
- High ownership mindset suited for fast-paced, cross-functional team environments
Qualifications
- Degree or relevant credentials in a quantitative discipline including Mathematics, Statistics, Engineering, or a related field
- Comfortable working with core statistics
Core Skills
Benefits
- Attractive salary
- Pension
- Health insurance
- Monthly bonuses
- Internal technical talks, knowledge sharing, and training opportunities
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this role?
The job posting does not specify whether the role is remote, hybrid, or on-site.
What experience is required to apply?
Applicants must have more than five years of experience in data science, risk analytics, or decision science within financial services, along with proficiency in SQL and Python or R.
What does the hiring process involve?
The recruitment process includes a preliminary recruiter phone call, a HackerRank coding exercise, a take-home assignment, a technical interview with a Data Science Team Lead, and a final behavioural and technical interview with the hiring manager.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
