Card Fraud Analyst

JN Bank Limited is seeking to recruit a dynamic, suitably qualified, and experienced individual to join our Card Fraud Unit as a Card Fraud Analyst . The successful candidate will be responsible for supporting the Bank’s fraud risk management efforts by analyzing card transaction data, identifying fraud trends, and enhancing fraud detection strategies to minimize losses and protect customer accounts.

Job Category: Supervisory Contract: Permanent

KEY RESPONSIBILITIES

Fraud Monitoring & Analysis • Analyze card transaction data to identify suspicious patterns, anomalies, and emerging fraud trends. • Monitor fraud alerts and support real-time detection activities to mitigate potential losses. • Conduct root cause analysis on fraud incidents and recommend corrective actions. • Assist with investigations and ensure timely escalation of confirmed fraud cases. • Support 24/7 fraud monitoring operations as required.

Fraud Detection Optimization • Assist in the development, testing, and optimization of fraud detection rules and strategies. • Evaluate the effectiveness of existing fraud controls and recommend enhancements. • Support continuous improvement initiatives to strengthen fraud prevention capabilities. • Balance fraud risk mitigation with customer experience by minimizing false positives.

Reporting & Insights • Prepare daily, weekly, and monthly fraud reports and dashboards. • Track fraud trends, losses, and key performance indicators. • Provide data-driven insights to support decision-making and strategy development. • Maintain accurate documentation of fraud cases and activities.

Collaboration & Compliance • Collaborate with internal teams including Risk, IT, Operations, and Customer Service. • Ensure adherence to internal policies, regulatory requirements, and service level agreements (SLAs). • Support audits and compliance reviews related to fraud management activities. • Stay informed on emerging fraud trends, tools, and industry best practices.

REQUIRED QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Data Analytics, Computer Science, Finance, Information Technology, or a related field. • 2–4 years’ experience in fraud analytics, banking operations, or data analysis. • Experience with card payment systems (e.g., Visa, Mastercard) is an asset. • Familiarity with fraud monitoring tools and case management systems is an asset. • Proficiency in Microsoft Office Suite, particularly Excel; knowledge of SQL or data visualization tools is an advantage. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills.

• Requires proficiency in Python and machine learning frameworks to build, test, and deploy predictive fraud models

PERSONAL ATTRIBUTES

• High attention to detail and strong investigative mindset. • Ability to work under pressure in a fast-paced environment. • Strong organizational and time management skills. • Proactive and results-oriented with a continuous improvement mindset. • Ability to work independently and collaboratively within a team. • Strong sense of integrity and confidentiality.