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.