Data Analyst – Fraud

🕒 August 3

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Investigate fraud attacks, quantify their impact, and present findings that drive prioritisation and response • Propose and refine rule-based fraud mitigations with fraud operations and engineering through implementation • Build and maintain reporting and dashboards for fraud trends, rule performance, and operational metrics • Collaborate with fraud operations, data scientists, engineers, and product managers to turn analytical insights into action • Identify emerging patterns and flag risks before escalation

🎯 Requirements

• 4+ years of experience as a Data Analyst (Fraud) or in a similar role, though this can be made up for with accomplishments • Strong problem-solving skills • Advanced SQL proficiency, including complex queries across large datasets • Experience in fraud, risk, or financial services • Understanding of fraud attacks and mitigation trade-offs • Proactive approach to identifying unusual patterns and risks • Some exposure to Python or scripting for data manipulation and analysis • Proficiency with a BI tool such as Power BI, Looker, Tableau, Superset, or Redash • Strong stakeholder management skills • Ability to communicate findings clearly to fraud operations, product managers, engineers, and senior leadership • Comfort working in fast-paced, cross-functional teams • Proficiency with Microsoft Excel, Google Sheets, or an alternative spreadsheet tool • Excellent written and verbal communication skills • Drive to learn and master new technologies and techniques • A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field • Experience with data governance is a plus • Experience with Python or another scripting language is a plus • Experience with Git or another version control tool is a plus

🏖️ Benefits

• Culture prioritising employee well-being, respect, inclusion, and having all voices heard • Learning and development-focused environment • Knowledge sharing, training, and regular internal technical talks • Attractive salary • Pension • Health insurance • Annual bonus • Other benefits