Opportunity at
MoniepointData Scientist (Fraud)
Moniepoint seeks a Data Scientist (Fraud) to join its team on-site. Recognized by the Financial Times in 2024 as Africa's fastest-growing fintech, Moniepoint serves over 10…
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About This Role
Moniepoint seeks a Data Scientist (Fraud) to join its team on-site. Recognized by the Financial Times in 2024 as Africa's fastest-growing fintech, Moniepoint serves over 10 million individual and business accounts, processing billions of Naira monthly to enable financial happiness for every African. This role sits at the core of the company's financial crime defense, focusing on the creation of models, experiments, and detection mechanisms to safeguard millions of users…
Job Description
Moniepoint seeks a Data Scientist (Fraud) to join its team on-site. Recognized by the Financial Times in 2024 as Africa's fastest-growing fintech, Moniepoint serves over 10 million individual and business accounts, processing billions of Naira monthly to enable financial happiness for every African.
This role sits at the core of the company's financial crime defense, focusing on the creation of models, experiments, and detection mechanisms to safeguard millions of users and merchants. It suits an intellectually curious, data-driven professional who thrives on complex challenges within fraud and financial crime. Working at the intersection of product, engineering, and machine learning, the chosen candidate will prototype and deploy machine learning models, design experiments, and identify novel fraud indicators across the ecosystem. Collaboration with engineers, product managers, and analysts is essential to convert work into operational, production-grade systems.
Responsibilities
- Prototype, evaluate, and assist in producing machine learning models for fraud detection while managing monitoring and retraining cycles
- Design and execute experiments to measure the effectiveness of fraud interventions while balancing loss reduction against customer experience
- Size fraud typologies across product lines to guide prioritization and investment choices
- Construct and maintain anomaly detection systems to identify new fraud vectors early
- Partner with fraud operations, engineering, product management, and data analysis teams to turn model outputs into practical mitigations
Requirements
- 3+ years of experience in risk analytics, decision science, or data science within financial crime, payments, or fraud
- Hands-on background building and deploying machine learning models in a production setting
- Proficiency in SQL and Python
- Strong foundation in data science fundamentals including feature engineering, model evaluation, statistical inference, and experimentation
Qualifications
- Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related discipline
- Previous experience in fraud, risk, or financial services
Core Skills
Benefits
- Attractive salary
- Pension
- Health insurance
- Annual bonus
- Other benefits
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote status for this role?
The posting states that the remote status for this position is on-site.
What experience is required for the Data Scientist position?
Candidates must have at least 3 years of experience in data science, decision science, or risk analytics within financial crime, payments, or fraud, along with hands-on experience deploying machine learning models in production, and proficiency in Python and SQL.
What education is needed for this job?
A degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a similar discipline is required.
What benefits are provided?
The employer provides an attractive salary, pension, health insurance, annual bonus, and other benefits.
Sample Interview Questions
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