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The Balance Sheet Management Sr. Analyst will focus on designing, developing, and optimizing Tableau dashboards, data pipelines, and reporting solutions to support IRRBB (Interest Rate Risk in the Banking Book) and Balance Sheet Management functions. The role requires strong technical skills in data visualization, dataflows, and data engineering to ensure scalable and automated Treasury analytics. This position is ideal for candidates with experience in building interactive Tableau dashboards, developing ETL pipelines, and applying data science techniques to analyze and transform large financial datasets. The analyst will work closely with IRRBB, Transfer Pricing, Liquidity, and Balance Sheet Management teams to improve risk analytics, automate reporting, and optimize data-driven decision-making processes.
Job Responsibility:
Develop and optimize Tableau dashboards for real-time IRRBB, balance sheet, and liquidity analytics, providing intuitive visual insights for Treasury stakeholders
Design and maintain automated data pipelines, integrating SQL, Python, and ETL processes to streamline financial data ingestion, transformation, and reporting
Enhance dataflows and database structures, ensuring high data accuracy, consistency, and governance across Treasury risk reporting
Implement data science methodologies, including time series analysis, trend forecasting, and anomaly detection, to support IRRBB and balance sheet risk analytics
Automate EUC (End-User Computing) solutions, replacing manual reporting processes with scalable, repeatable, and efficient workflows
Collaborate with cross-functional teams, including IRRBB, FTP, and Non-Market Risk, to understand data needs, enhance reporting capabilities, and ensure alignment with regulatory and business requirements
Requirements:
5+ years of experience in banking/finance, with a focus on Balance Sheet Management, IRRBB, Treasury, or Risk Analytics
Strong expertise in Tableau dashboard development, including data visualization best practices, calculated fields, and performance optimization
Experience in building and maintaining data pipelines using SQL, Python, and ETL tools for financial data processing
Familiarity with data science techniques, such as time series forecasting, statistical modeling, and anomaly detection, applied to financial datasets
Proficiency in data governance, validation, and reconciliation to ensure accuracy in Treasury risk reporting
Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions
Bachelor’s degree in Finance, Computer Science, Data Science, Mathematics, or a related field
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