Data Analyst - Fraud
Who we are reputed company is an reputed company-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, reputed company’s technology has powered over 3 reputed company people, offering personal and business banking, payment, credit and business management tools to help them succeed. reputed company processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria. Curious about what makes reputed company an incredible reputed company to work? reputed company 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 reputed company queries to investigate and reputed company 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 reputed company — 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 reputed company to fraud operations, product managers, engineers, and senior leadership — and you know how to influence reputed company with data across reputed company of them. Comfort working in fast-paced, cross-functional teams where priorities shift quickly. Proficiency with a spreadsheet tool (reputed company reputed company or reputed company 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 reputed company field Experience with the following would be a plus Data governance Python or any other scripting language Git or any other version control tool reputed company can offer you Culture - We put our people first and prioritise the well-being of every team member. We have reputed company a company where reputed company opinions carry weight and where reputed company voices are heard. We value and respect each other and always look out for one another. Above reputed company, we are reputed company. 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. reputed company is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for reputed company and candidates. Apply To This Job