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Moniepoint

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Moniepoint

Senior Data Analyst - Fraud

Moniepoint seeks a Senior Data Analyst - Fraud to join their team in a full-time, on-site capacity. Moniepoint Inc. operates an all-in-one financial platform in Africa,…

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Location
Nigeria
Salary
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Employment type
Full-time
Experience
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Published3h ago
Listing Views1
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About This Role

Moniepoint seeks a Senior Data Analyst - Fraud to join their team in a full-time, on-site capacity. Moniepoint Inc. operates an all-in-one financial platform in Africa, serving millions of users and businesses with digital payments, banking, credit, and management solutions, as well as handling significant annual transaction volumes. In this role, the analyst will examine security breaches, measure their effects, and deliver insights to guide action. Responsibilities include designing and…

Job Description

Moniepoint seeks a Senior Data Analyst - Fraud to join their team in a full-time, on-site capacity. Moniepoint Inc. operates an all-in-one financial platform in Africa, serving millions of users and businesses with digital payments, banking, credit, and management solutions, as well as handling significant annual transaction volumes.

In this role, the analyst will examine security breaches, measure their effects, and deliver insights to guide action. Responsibilities include designing and updating rule-based defenses alongside engineering and operations teams, tracking fraud patterns through dashboards, and spotting emerging risks early.

This position fits professionals with a strong background in financial services or risk analysis who enjoy operating in an autonomous environment with a flat organizational structure. The company emphasizes a culture focused on employee well-being, mutual respect, and continuous learning through knowledge sharing and internal technical sessions.

Moniepoint is an equal opportunity employer dedicated to fostering an inclusive workplace that celebrates diversity among its staff members.

Responsibilities

  • Investigate security incidents, assess their scale, and communicate findings to guide response priorities
  • Design and refine rule-based protections in collaboration with engineering and operations groups
  • Develop and maintain monitoring dashboards to track risk trends and rule efficiency
  • Partner with data scientists, product managers, and operations staff to turn insights into action
  • Identify emerging risk patterns and highlight vulnerabilities prior to escalation

Requirements

  • Four or more years of experience working as a data analyst focusing on fraud or related domains
  • Advanced proficiency in writing complex SQL queries across large datasets
  • Prior background in financial services, risk, or fraud mitigation
  • Working knowledge of Python or similar scripting tools for data manipulation
  • Experience utilizing business intelligence tools like Looker, Tableau, PowerBI, Superset, or Redash
  • Familiarity with spreadsheet applications such as Microsoft Excel or Google Sheets
  • Strong stakeholder communication and cross-functional collaboration abilities

Qualifications

  • Bachelor degree in Statistics, Computer Science, Mathematics, Engineering, or a related discipline
  • Experience with data governance practices
  • Familiarity with version control systems like Git

Core Skills

Benefits

  • Attractive salary package
  • Pension contributions
  • Health insurance coverage
  • Annual bonus
  • Additional perks and benefits

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the employment type for this role?

This position is full-time.

Is this position remote?

The posting indicates that the position is on-site.

What is the salary for this position?

The exact salary is not stated in the job posting, though an attractive salary and annual bonus are offered.

What does the hiring process involve?

The recruitment process includes an initial phone call with a recruiter, a technical SQL take-home assignment, a technical interview with the hiring manager, and a behavioral interview with the Head of Data Analytics/Science and the Fraud Team.

Sample Interview Questions

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Added to Jobsiz: Oct 13, 2026

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