Senior Data Analyst at Kuda Bank Full Time

Job Title: Senior Data Analyst

Location: Lagos
Employment Type: Full time

Role Description

• 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

• Bachelor’s Degree in a relevant field.
• 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.

Application Closing Date
Not Specified.