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Lakshmi R
Sr Ofsaa Consultant @Mb Financial Bank
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WORK HISTORY
Sr Ofsaa Consultant @Mb Financial Bank
US
Collaborate with stakeholders to understand business objectives.Dealing with issues related to query optimization, data volume handling, and ETL bottlenecks, performance tuning or data integration while working on OFSAA. Worked on strategies like indexing, partitioning, or parallel processing to improve performance, Work with SQL, Excel, Power BI, or Tableau for data analysis.Interpret data trends and create reports to support decision-making.Ensure data accuracy and consistency.
EDUCATION
Visvesvaraya Technological University
Master's degree
ABOUT LAKSHMI R
Working primarily in the banking and financial sectors for risk management, compliance, profitability analysis, and financial analytics, OFSAA Risk Management – Covers credit risk, market risk, liquidity risk, and operational risk. Regulatory Compliance – Assists in meeting regulatory requirements such as Basel IFRS 9, and stress testing. Asset Liability Management (ALM) – Helps manage interest rate risk and liquidity risk. Financial Crime & Compliance – Includes anti-money laundering (AML) and fraud detection solutions. Profitability & Cost Management – Analyzes customer and product profitability. Data Governance & Reporting – Manages financial data and regulatory reporting. specializing in Enterprise Case Management (ECM), Financial Crime and Compliance Management (FCCM), and Data Integration. Expertise in analyzing and mapping data flows, executing and monitoring OFSAA batches, debugging data issues, and ensuring data integrity. Strong background in AML, KYC, fraud prevention, risk assessment, and compliance domains. Adept at integrating data from EDW and upstream systems into OFSAA while ensuring regulatory compliance and operational efficiency. Designing and Developing Customizations in Oracle Mantas (OFSAA, FCCM) for Transaction Monitoring Scenario Customization & Fine-Tuning Modify existing AML detection scenarios and risk rules. Implement dynamic thresholding to reduce false positives Integrate AI/ML-based models for anomaly detection (if part of the transformation). Data Processing Optimization Ensure efficient data ingestion from core banking
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