Data Analyst - Fraud

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 other related field

Experience with the following would be a plus

- Data governance

- Python or any other scripting language

- Git or any other version control tool

What we can offer you

- Culture - We put our people first and prioritise the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.

- Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.

- Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

- A preliminary phone call with the recruiter.

- Technical take-home task (SQL test).

- Technical Interview with hiring manager.

- A behavioural interview with the Head of Data Analytics/Science and Fraud Team.

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.