Remote opportunity at
Moniepoint GroupSenior Data Scientist (Credit)
Moniepoint Group is looking for a Senior Data Scientist (Credit) to join its team on a remote basis. As Africa's all-in-one financial platform, Moniepoint Inc. serves…
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About This Role
Moniepoint Group is looking for a Senior Data Scientist (Credit) to join its team on a remote basis. As Africa's all-in-one financial platform, Moniepoint Inc. serves 20 million businesses and individuals with payments, banking, credit, and cross-border tools, acting as Nigeria's largest merchant acquirer and processing over $250 billion in digital payment transaction value annually. In this position, the professional will power consumer lending decisions at scale by constructing models,…
Job Description
Moniepoint Group is looking for a Senior Data Scientist (Credit) to join its team on a remote basis. As Africa's all-in-one financial platform, Moniepoint Inc. serves 20 million businesses and individuals with payments, banking, credit, and cross-border tools, acting as Nigeria's largest merchant acquirer and processing over $250 billion in digital payment transaction value annually.
In this position, the professional will power consumer lending decisions at scale by constructing models, experiments, and insights for customer acquisition, underwriting, and retention across Nigeria and Africa. Operating at the intersection of data science, credit risk, and product, the role involves building credit risk models, establishing pricing strategies, and guiding machine learning versus traditional methods.
The role suits a data-driven, impact-oriented practitioner with extensive experience in financial services analytics who can collaborate with the Consumer Credit team and cross-functional product squads.
Responsibilities
- Build and launch credit scoring, affordability, and behavioural models for underwriting, pricing, and collections
- Create and execute experiments to improve approval rates, reduce loss rates, and increase profitability
- Collaborate with product squads to integrate decision logic into real-time systems
- Maintain data quality, regulatory compliance, and ethical model use throughout decisioning workflows
- Guide product squads on experimentation and data-driven choices
- Supply models to enhance results in collections, churn reduction, and user retention
Requirements
- Over 5 years of professional background in data science, decision science, or risk analytics within financial services
- Working familiarity with credit risk, consumer lending, and regulatory requirements
- Strong proficiency in SQL and at least one programming or modelling language such as Python or R
- Hands-on background with A/B testing, machine learning, collections modelling, and churn management
- Capability to convert complex analyses into understandable recommendations for business stakeholders
- High sense of ownership and ability to operate within fast-paced, cross-functional groups
Qualifications
- Degree or credentials in a quantitative discipline such as Statistics, Mathematics, or Engineering
Core Skills
Benefits
- Attractive salary
- Pension
- Health insurance
- Monthly bonuses
- Other benefits
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source posting lists the remote status for this role as remote.
What is the salary for this role?
The salary is not stated in the job posting.
What experience is required to apply?
Candidates must have over 5 years of experience in data science, decision science, or risk analytics within financial services, along with working knowledge of credit risk, consumer lending, and regulatory considerations.
What does the hiring process involve?
The process includes a preliminary recruiter phone call, a HackerRank coding exercise, a take-home assignment, a technical interview with a Data Science Team Lead to review the assignment, and a combined behavioural and technical interview with the hiring manager.
Sample Interview Questions
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