Data Analyst – Fraud

This is a fully remote position, open to applicants in Nigeria.

📋 Description

• Conduct investigations into fraud incidents, assess their impact, and deliver comprehensive findings that inform prioritization and response strategies.

• Suggest and enhance rule-based solutions, collaborating with fraud operations and engineering teams to ensure successful implementation.

• Develop and sustain reporting tools and dashboards to track fraud patterns, rule effectiveness, and essential operational metrics.

• Collaborate closely with fraud operations, data scientists, engineers, and product managers to convert analytical insights into actionable strategies.

• Actively identify emerging trends and flag potential risks before they escalate.

⛳️ Requirements

• Demonstrated experience as a Data Analyst (Fraud) or in a comparable position (4+ years, which may be offset by significant accomplishments).

• Excellent problem-solving abilities.

• Advanced skills in SQL, with a comfort level in crafting complex queries to analyze and dissect data across extensive datasets.

• Familiarity with fraud, risk, or financial services, with an understanding of how fraud attacks function and considerations for mitigation trade-offs.

• A proactive approach — you take initiative without waiting for direction; when you notice something unusual, you investigate further.

• Some experience with Python or scripting for data manipulation and analysis.

• Proficient in a BI tool (PowerBI, Looker, Tableau, Superset, Redash, or any other equivalent).

• Strong stakeholder management abilities; capable of articulating findings clearly to fraud operations, product managers, engineers, and senior leadership, and influencing decisions with data across all levels.

• Comfortable working within fast-paced, cross-functional teams where priorities can change rapidly.

• Proficient in spreadsheet software (Microsoft Excel, Google Sheets, or any other alternative).

• Appreciate autonomy and a flat organizational structure: with millions of customers and a non-hierarchical setup, individual contributions can make a significant impact.

• Exceptional written and verbal communication skills.

• A desire to learn and master new technologies and methodologies.

• A bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

• Experience with the following is a plus:

• Data governance.

• Python or another scripting language.

• Git or any other version control tool.

🏝️ Benefits

• Culture - We prioritize our people and their well-being, fostering an environment where every opinion is valued and heard. We respect and support one another, emphasizing our shared humanity.

• Learning - Our environment is focused on learning and development, with a strong emphasis on knowledge sharing, training, and regular internal technical discussions.

• Compensation - You will receive a competitive salary, pension plan, health insurance, annual bonus, and additional benefits.