Senior Banking Data Management and Risk Analytics professional with 18+ years of experience delivering enterprise data, Business Intelligence, Regulatory Reporting, and Cloud solutions across Retail, Corporate, Wholesale…
Senior Banking Data Management and Risk Analytics professional with 18+ years of experience delivering enterprise data, Business Intelligence, Regulatory Reporting, and Cloud solutions across Retail, Corporate, Wholesale Banking, Trade Finance, Insurance, and Telecommunications domains. Extensive experience designing enterprise data pipelines and reporting solutions supporting banking operations, regulatory reporting, management information (MI), data governance, reconciliation, and business decision-making. Strong expertise in SQL (Oracle, MS SQL Server, PL/SQL), Python, SAS, ETL, Data Warehousing, Data Quality, and Banking Analytics, with proven experience automating Data Cleaning, Processing, validation, reconciliation, and reporting processes across multiple banking entities. Worked closely with Risk, Finance, Compliance, and Business stakeholders to validate enterprise banking datasets, perform data quality assurance, support UAT, and deliver accurate, compliant reporting solutions. Working knowledge of IFRS 9 Expected Credit Loss (ECL) methodology, impairment staging concepts, Basel III regulatory guidelines, Credit Risk Analytics, Loan Portfolio Reporting, Credit Exposure Analysis, Risk MI, and Banking Regulatory Reporting, with ongoing learning of Moody's IFRS9 - Risk Confidence (RCO) platform. Advanced Proficiency in Power BI, Microsoft Excel (Pivot Tables, Power Query, XLOOKUP, INDEX-MATCH, large dataset analysis), and automations of Banking reports using Python, data validation, and analytical reporting. Experienced in metadata-driven data quality frameworks, ITIL-based Service Management, incident and change management, SLA compliance, and delivery of enterprise banking solutions while ensuring compliance with regulatory and security standards, including GDPR and PCI DSS. International banking experience working with HSBC North America (USA), Suncorp Bank (Australia), Merril Lynch Investment Bank -USA, News Corp (Australia), THREE (UK), and currently supporting enterprise Data Management and Data Quality initiatives at Bank ABC, Bahrain for nearly 2 years.
<p>Technical coordination, requirement analysis, High-Level Design documentation, Business Requirement Documents (BRDs), effort estimation, and collaboration with Product Owners and Project Managers within Agile delivery frameworks.<br>
Designed and developed enterprise data pipelines using AWS Glue, AWS S3, AWS PostgreSQL and Oracle on cloud, IBM DataStage to support Core Banking, Risk Management IFRS9 reports, Wholesale Banking, Trade Finance, and Supply Chain Finance reporting requirements.<br>
Developed complex SQL solutions across multiple database platforms including SAS Proc SQL, SAS Micros, Oracle, SQL Server, Db2, Netezza, and Redshift for data extraction, transformation, validation, reconciliation, and business reporting.<br>
Automation of SAS reports and Building AWS Glue Data Engineering pipelines to populate the Finance data into Redshift Warehouse.<br>
Implemented data quality frameworks and automated validation processes using Python and SQL to improve accuracy, completeness, and consistency of banking datasets across multiple business units and countries Mainly for Bahrain & UKIB.<br>
Collaborated with Business, Risk, Finance, Operations, and Technology teams to deliver reliable banking data solutions supporting management reporting, operational analytics, and enterprise data governance initiatives.</p>
<p>Supported Data Science teams by preparing analytical datasets and feature data required for predictive modelling techniques including Random Forest and Linear Regression for credit behaviour forecasting, customer segmentation, and collection performance analytics.<br>
Developed complex SQL queries, stored procedures, and data transformation processes using MSSQL and Azure SQL to support business intelligence reporting and analytical solutions.<br>
Created and maintained SSRS reports and Power BI dashboards providing management insights across collection services, payment services, customer communication channels, and operational performance metrics.<br>
Implemented DevOps-enabled delivery processes using Azure DevOps practices, GitHub-based CI/CD pipelines, Docker containers, and cloud deployment automation.<br>
Worked closely with Business Analysts, Data Scientists, Product Owners, and Cloud Engineering teams to deliver scalable FinTech analytics solutions across multiple Nordic countries.<br>
Supported production operations through ServiceNow ITSM processes, incident management, change management, monitoring, and SLA-driven support activities.</p>
<p>Designed, developed, and migrated enterprise ETL workflows from Oracle PL/SQL, IBM DataStage, Db2, and Netezza to AWS services including Amazon S3, AWS Glue, Python, PySpark, and Amazon Redshift.<br>
Built automated data pipelines for Retail Banking data covering customer, credit card, loan, deposit, and transaction domains while ensuring high standards of data quality, reconciliation, and validation throughout the migration process.<br>
Supported SAS-based analytical reports by preparing and validating datasets used for customer segmentation, campaign analysis, credit card analytics, cross-sell/up-sell business reporting.<br>
Collaborated with business stakeholders, data architects, QA teams, and cloud engineers to deliver scalable AWS-based data warehouse solutions, perform UAT, optimize ETL performance, and ensure successful production deployments.<br>
Implemented metadata-driven data quality checks, production monitoring, incident resolution, and performance tuning to improve reporting accuracy, operational efficiency, and enterprise data governance.</p>
<p>Developed, enhanced, and supported SAS-based Risk Management, Credit Risk, and Portfolio Reporting applications using Base SAS, PROC SQL, DATA Step, SAS Macros, and Oracle SQL, ensuring accurate and timely report generation.<br>
Provided production support by monitoring scheduled SAS batch jobs, investigating job failures, performing root cause analysis, resolving production incidents, and ensuring SLA compliance for critical business and regulatory reports.<br>
Performed data extraction, validation, reconciliation, and quality assurance across Oracle and SAS datasets, collaborating with Risk, Finance, and business stakeholders to ensure reporting accuracy and data integrity.<br>
Supported change requests, UAT, production deployments, performance tuning, documentation, and ongoing enhancements while maintaining compliance with HSBC's data governance and enterprise reporting standards.</p>
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