Fraud & Risk Data Analyst Job in Bengaluru at Alaan

Alaan is hiring for the role of Fraud & Risk Data Analyst!

Responsibilities of the Candidate:

• Monitor, analyze, and investigate unusual patterns in customer and transaction data to identify potential fraudulent activity.
• Develop and maintain dashboards, reports, and models to track fraud trends, risk exposure, and KPIs.
• Work closely with risk, compliance, and product teams to strengthen fraud detection rules, scoring models, and prevention strategies.
• Conduct root cause analysis of confirmed fraud incidents and provide recommendations for process or system improvements.
• Evaluate the effectiveness of existing fraud detection tools, rules, and machine learning models; propose refinements for better accuracy.
• Partner with data engineering and product teams to ensure data quality and build scalable fraud monitoring solutions.
• Stay informed about evolving fraud techniques, regulatory requirements, and industry best practices to help future-proof the company’s fraud prevention capabilities.

Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Finance, or related field. An advanced degree is a plus.
• 2–4 years of experience in fraud analytics, risk management, or related data-focused roles.
• Strong analytical and problem-solving skills, with proficiency in SQL and data visualization tools (e.g., Metabase).
• Experience with Python or R for data analysis and statistical modeling is preferred.
• Knowledge of fraud detection systems, scoring models, or transaction monitoring frameworks.
• Strong business acumen with the ability to translate complex data insights into clear, actionable strategies.
• Excellent communication skills to work effectively with cross-functional stakeholders.