Senior Analyst, Risk Management, APAC (Multi-Franchise)

Job Responsibilities

• Data Collation & Structuring
• Aggregate risk, finance, and business data from multiple subsidiaries (banks and non-banks), including PDFs, Excel files, and raw datasets.
• Identify and resolve data gaps by coordinating with local teams to ensure completeness and consistency.
• Develop mapping logic to standardize key data fields (e.g., portfolio, origination, delinquency, collections).
• Data Governance & Standardization
• Build and maintain a structured database or data mart to support regional oversight.
• Define and manage a data dictionary and quality rules for core metrics.
• Ensure proper version control, lineage tracking, and documentation for all datasets.
• Reporting & Insights
• Produce monthly and quarterly dashboards covering portfolio health, credit cost trends, performance deviations, and early warning indicators.
• Prepare executive summaries and risk commentaries for senior leadership.
• Contribute to thematic risk reviews and Board-level presentation materials.
• Analytical Support
• Conduct deep-dive analyses on emerging risks, product trends, and partner/channel performance.
• Support credit cost forecasting validation and profitability sensitivity assessments.
• Prepare data packs for risk appetite and stress testing exercises.
• Coordination & Communication
• Liaise with AGMD, India Division, and MF risk/MIS teams to clarify data definitions and resolve issues.
• Serve as the central point of contact for data submissions and analytical requests.
• Maintain a tracker for data requests and ensure timely updates to management.

Job Requirements

• Bachelor's degree in Data Analytics, Finance, Risk Management, Information Systems, or related field.
• Minimum 5 years of experience in data management, MIS reporting, or risk analytics, preferably in financial services or consulting.
• Proficiency in Excel, PowerPoint, and data tools (e.g., SQL, Power BI, Tableau) Python or R is a plus.
• Experience managing cross-border or multi-entity data reporting.
• Strong ability to work with unstructured and non-standard datasets.
• Excellent analytical, communication, and stakeholder engagement skills.
• Detail-oriented, proactive, and capable of managing multiple priorities independently.
• Familiarity with banking and non-bank financial products (e.g., unsecured loans, SME lending, auto finance).
• Understanding of regulatory reporting, risk appetite frameworks, and credit performance metrics.
• High cultural agility and awareness of emerging market dynamics.
• Comfortable working in matrix organizations and across time zones.