Data Analyst - Fraud

Description

Who we are 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 to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria. *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.*