Data Analyst - Fraud

Moniepoint Group; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Moniepoint is seeking a Data Analyst (Fraud) to investigate attacks, quantify impact, and present findings. You will build dashboards, propose rule-based mitigations with fraud ops and engineering, and collaborate with data scientists, engineers, and product managers to translate insights into action.

The role requires 4+ years in data analysis (fraud/risk), expert SQL, BI tool experience (PowerBI/Looker/Tableau/Superset/Redash), and proficiency with Excel/Google Sheets.

Qualifications

• 4+ years as a Data Analyst (Fraud) or similar role.
• Advanced proficiency with SQL for complex queries on large datasets.
• Experience in fraud, risk, or financial services.
• Proficiency with BI tools (PowerBI, Looker, Tableau, Superset, or Redash).
• Proficiency with spreadsheet tools (Excel or Google Sheets).
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Strong problem-solving and stakeholder management skills.
• Exposure to Python or scripting for data manipulation.

Responsibilities

• Investigate fraud attacks, quantify their impact, and present clear findings.
• Propose and refine rule-based mitigations in collaboration with fraud operations and engineering.
• Build and maintain reporting and dashboards to monitor fraud trends and operational metrics.
• Work closely with data scientists, engineers, and product managers to translate insights into action.
• Proactively identify emerging patterns and flag risks before they elevate.

Skills

Problem solving

Stakeholder management

Attention to detail

Fraud domain knowledge

Education

Bachelor’s degree in CS/Statistics/Math/Engineering

Tools

PowerBI

Looker

Tableau

Superset

Redash

Excel

Google Sheets

Job description

About the Company

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit and business management tools.

Responsibilities

• Investigate fraud attacks, quantify their impact, and present clear findings
• Propose and refine rule-based mitigations in collaboration with fraud operations and engineering
• Build and maintain reporting and dashboards to monitor fraud trends and operational metrics
• Work closely with data scientists, engineers, and product managers to translate insights into action
• Proactively identify emerging patterns and flag risks before they elevate

Requirements

• 4+ years of experience as a Data Analyst (Fraud) or similar role
• Advanced proficiency with SQL for complex queries on large datasets
• Experience in fraud, risk, or financial services
• Proficiency with BI tools (PowerBI, Looker, Tableau, Superset, or Redash)
• Proficiency with spreadsheet tools (Excel or Google Sheets)
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• Strong problem-solving and stakeholder management skills
• Exposure to Python or scripting for data manipulation

Preferred Qualifications

• Experience with data governance
• Proficiency in Python or other scripting languages
• Experience with Git or other version control tools