About this role
• Monitor and analyze originations data to identify potential fraud patterns using data analytics tools and methodologies. • Conduct deep dive investigations into suspicious activities, determine root causes and develop strategies to prevent future occurrences. • Assist in development and integration of fraud detection rules and strategies on workflow systems. • Stay updated with industry trends and best practices in fraud detection. • Collaborate with stakeholders and cross-functional teams to enhance fraud prevention measures.
• Ability to work in a fast-paced environment, with strong attention to detail and a proactive mindset towards problem-solving. • Excellent communication and teamwork skills to translate business requirements into analytical solutions.
• Bachelor’s degree in computer science, finance, data science, or a related field. • 3+ years of strong experience in analytics, preferably in banking domain • Strong analytical skills with proficiency in Python/PySpark and SQL • Experience in data visualization and dashboard development (preferably Tableau) to deliver interactive dashboards and automate reporting.