Senior Data Analyst at Kuda Bank

About the role

We are seeking a Senior Data Analyst to join our Fraud Team. In this role, you will leverage your expertise in data analytics to uncover insights, build predictive models, and develop strategies to combat fraud effectively.

Key responsibilities:

• Monitor transactions and activity to identify patterns and trends indicative of fraudulent behavior.
• Develop and refine fraud detection algorithms and scoring systems.
• Analyze large datasets to generate actionable insights for fraud prevention.
• Create dashboards and reports to track key fraud metrics and trends.
• Present findings and recommendations to stakeholders, including leadership teams.
• Partner with Fraud Operations, Risk, and Product teams to develop effective fraud prevention strategies.
• Collaborate with Data Science and Engineering teams to implement advanced machine learning models and solutions.
• Evaluate and enhance current fraud detection processes, tools, and systems.
• Lead the development of automated solutions to streamline fraud detection and reporting.
• Assess emerging fraud trends and adapt strategies to address new risks.
• Proactively identify vulnerabilities and recommend preventive measures.

Requirements

• Minimum of 4 years of experience in fraud analysis or a similar role.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large volumes of data.
• Intermediate to advanced SQL (an advantage).
• Strong analytical and problem-solving skills.
• Experience working in a fintech or other fast paced environment.
• Proficient in Monitoring systems and rules tuning.
• Knowledge of fraud prevention techniques and technologies.
• Proficiency in using fraud detection tools and software
• Good communication skills and ability to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple priorities.
• Proficiency in SQL for querying databases and extracting data for analysis.
• Advanced skills in data analysis and the ability to use these skills to identify patterns and anomalies that may indicate fraud.
• Bachelor's degree in a relevant field.