Fraud Analyst

• 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.

Responsibilities

• 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.

Qualifications

• 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.