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Senior Data Analyst - Fraud

Moniepoint · London, United Kingdom

On-siteEnglish

About the role

From the employer’s listing · Moniepoint · posted 17 September 2026

Who We Are

Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.

As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually.

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

What you will get to do

  • Investigate fraud attacks, quantify their impact, and present clear findings that drive prioritisation and response
  • Propose and refine rule-based mitigations, working with fraud operations and engineering to see them through to implementation
  • Build and maintain reporting and dashboards to monitor fraud trends, rule performance, and key operational metrics
  • Work closely with fraud operations, data scientists, engineers, and product managers to ensure analytical insights translate into action
  • Proactively identify emerging patterns and flag risks before they escalate

To succeed in this role, you should have

  • Proven experience as a Data Analyst (Fraud), or a similar role (4+ years, can be made up for with accomplishments)
  • Strong problem solving skills
  • Advanced proficiency with SQL. you're comfortable writing complex queries to investigate and slice data across large datasets
  • Experience in fraud, risk, or financial services; you understand how fraud attacks work and how to think about mitigation trade-offs
  • A proactive mindset — you don't wait to be asked; you spot something unusual and you dig in
  • Some exposure to Python or scripting for data manipulation and analysis
  • Proficiency with a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other alternative)
  • Strong stakeholder management skills; you can communicate findings clearly to fraud operations, product managers, engineers, and senior leadership — and you know how to influence decisions with data across all of them.
  • Comfort working in fast-paced, cross-functional teams where priorities shift quickly.
  • Proficiency with a spreadsheet tool (Microsoft Excel or Google Sheets, or any other alternative)
  • Enjoy autonomy and a flat structure: we have millions of customers and a flat hierarchy so any individual can have an outsized impact
  • Excellent written and verbal communication skills
  • A drive to learn and master new technologies and techniques
  • A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or any othe

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