Data Analyst – Fraud (Remote) at Moniepoint Incorporated

Moniepoint Incorporated is hiring a Data Analyst – Fraud to help detect, investigate, and prevent fraudulent activities across its platform. This remote role is ideal for an experienced data analyst with strong analytical skills, advanced SQL expertise, and a passion for using data to improve fraud detection and risk management. The successful candidate will collaborate with cross-functional teams to identify fraud trends, develop mitigation strategies, and deliver actionable insights that strengthen fraud prevention efforts.

Location: Remote

Key Responsibilities

• Investigate fraud incidents, assess their impact, and present data-driven findings to support timely decision-making.
• Develop, recommend, and refine rule-based fraud detection strategies in collaboration with fraud operations and engineering teams.
• Build and maintain dashboards and reports to monitor fraud trends, operational performance, and mitigation effectiveness.
• Analyze large datasets to identify suspicious activities, emerging fraud patterns, and potential risks.
• Work closely with data scientists, engineers, product managers, and fraud specialists to translate analytical insights into practical solutions.
• Continuously monitor fraud metrics and recommend improvements to existing detection processes.

Requirements

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
• Minimum of 4 years of experience as a Data Analyst, Fraud Analyst, or in a similar analytical role. Outstanding achievements may be considered in place of years of experience.
• Strong analytical and problem-solving skills.
• Advanced proficiency in SQL with the ability to write and optimize complex queries across large datasets.
• Experience working within fraud prevention, risk management, fintech, or financial services.
• Experience using business intelligence tools such as Power BI, Tableau, Looker, Superset, Redash, or similar platforms.
• Basic to intermediate knowledge of Python or another scripting language for data analysis.
• Proficiency in Microsoft Excel, Google Sheets, or similar spreadsheet applications.
• Excellent stakeholder management and communication skills with the ability to present insights to technical and non-technical audiences.
• Ability to work effectively in a fast-paced, cross-functional environment.
• Strong written and verbal communication skills.
• Willingness to learn new technologies, tools, and analytical techniques.

Preferred Qualifications

• Experience with data governance principles.
• Knowledge of Git or other version control systems.
• Additional experience with Python or other scripting languages.