Assistant Manager – Fraud Risk- Data Analytics & MI

Role Purpose :

The Assistant Manager – Fraud Risk-Data Analytics & MI supports the development and delivery of fraud risk analytics, reporting, and management information systems (MIS). The role involves using data analytics tools to detect fraud trends, generate actionable insights, and support the optimization of fraud detection strategies.

Working under the guidance of the Senior Manager – Fraud Risk-Data Analytics & MIS, the Assistant Manager will assist in building and maintaining fraud-related dashboards, MIS reports, and analytical models to support proactive fraud prevention and ensure accurate, timely reporting to internal stakeholders and regulators.

Key Accountabilities:

• Fraud Data Analysis & Reporting: Assist in developing and maintaining fraud risk reports and dashboards using data visualization tools (e.g., Power BI, Tableau) and data processing languages (e.g., SQL, Python). Analyze fraud-related data to identify trends, anomalies, and risk indicators.
• MIS Preparation: Compile and validate data from various sources to produce periodic and ad-hoc fraud MIS reports. Ensure reports are accurate, timely, and align with stakeholder requirements.
• Support Fraud Detection Systems: Collaborate in the development and enhancement of fraud detection models and rules. Use data to help assess the effectiveness of existing fraud controls.
• Data Quality & Automation: Support data cleansing and standardization efforts. Contribute to process automation and streamlining of fraud data collection and reporting workflows.
• Collaboration Across Functions: Work closely with fraud investigation, monitoring, and operational teams to gather input, validate data, and support business decisions with analytical insights.
• Compliance & Audit Support: Assist in preparing reports and data extracts for audits and regulatory submissions. Ensure all data handling complies with data protection and financial crime regulations.
• Support Strategy Implementation: Assist in analyzing the effectiveness of fraud prevention strategies and provide recommendations based on data analysis and risk trends.
• Technical Proficiency: Proficiency in SQL and Excel for data analysis. Working knowledge of Python/R, Power BI, or Tableau is desirable. Understanding data management and fraud analytics concepts.
• Analytical & Problem-Solving: Strong attention to detail, with the ability to identify discrepancies and anomalies in large datasets.
• Organizational Skills: Ability to prioritize work, meet deadlines, and manage time effectively in a fast-paced environment.

Skills and Education:

• Bachelor’s degree, preferably in Risk Management / Commerce / Finance/ Accounting/ Law / Management
• Professional / Technical Qualifications / Diplomas: CFE, ACFE, FRM, or other similar qualification
• Proficiency in data visualization tools such as Power BI and Tableau.
• Strong command of data processing languages including SQL and Python.
• Analytical and Investigation–Excellent Analytical and Investigation skills and attention to detail.
• Communications Skills - Strong verbal and written communication skills.
• Teamwork - Balances team and individual responsibilities, exhibits objectivity and openness to others' views, gives and welcomes feedback, contributes to building a positive team spirit, puts success of team above own interests, supports everyone's efforts to succeed.
• Planning/Organizing and Control- Prioritizes and plans work activities, uses time efficiently.
• Management and People skills – Ability to manage a team, provide guidance and mentoring                 

Experience: 

• Minimum 5 years of experience in fraud data analytics, or MIS/reporting within a banking or financial services environment.
• Proven experience with data visualization tools such as Power BI or Tableau, along with proficiency in data processing languages like SQL and Python, is essential.
• Prior exposure to fraud risk management frameworks is mandate.
• Experience working with large datasets and reporting tools is essential