Fraud Analyst

About This Role

Monitoring fraud dashboards, investigating transaction data, and supporting fraud strategy development are the core responsibilities of this role within the BFSI credit card business. This position suits a detail-oriented Fraud Analyst with prior experience in the fraud domain.

Responsibilities

• Monitor fraud/risk dashboards daily, proactively identify anomalies, spikes, or unusual trends and flag them to stakeholders at the earliest
• Deep-dive into flagged anomalies to determine root cause, distinguishing genuine fraud trends, data/reporting issues, or one-off outliers
• Investigate flagged accounts/transactions to distinguish genuine fraud from false positives, applying knowledge of common fraud typologies (e.g., account takeover, first-party fraud, synthetic identity fraud, third-party fraud, etc.)
• Support the design, testing, and monitoring of fraud detection rules and strategies in partnership with seniors and risk stakeholders
• Collaborate cross-functionally with Risk, Operations, Compliance, and Product teams on fraud trends and remediations
• Manage multiple investigations and monitoring tasks independently, prioritizing based on risk and business impact
• Analyze large volumes of transaction, account, and customer data using SQL and Excel to identify unusual patterns and emerging fraud trends beyond what dashboards surface
• Build and maintain regular and ad-hoc reports/dashboards to track fraud rates, loss trends, and rule/model performance
• Document findings and investigation outcomes clearly and communicate anomalies and results promptly to stakeholders and escalating urgent issues without delay

Requirements

• Prior experience in the fraud domain, with a working understanding of BFSI credit card fraud typologies and lifecycle
• Strong hands-on proficiency in SQL and Advanced Excel skills
• Comfort working with dashboards/reporting tools and reading trend data to spot deviations quickly
• Strong analytical and problem-solving skills, with high attention to detail
• Excellent written and verbal communication skills, with the ability to explain findings clearly and promptly to stakeholders at different levels
• Strong organizational skills and ability to manage daily monitoring alongside deeper investigations, independently and with minimal supervision
• A quick learner with genuine enthusiasm for picking up new tools, domains, and analytical techniques
• Bachelor's or Master's degree in a quantitative, business, engineering, or related field, with relevant practical experience

Nice to have:

• Basic understanding of Python for data analysis
• Familiarity with fraud monitoring tools or case management systems