Citi-posted 8 days ago
Full-time • Mid Level
Tampa, FL
5,001-10,000 employees

Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. Strong ETL knowledge (Abinitio, Pyspark ), Good Analytical skills and Banking Knowledge. Should be sound on business Analysis. Integrates subject matter and industry expertise within a defined area. Contributes to data analytics standards around which others will operate. Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Resolves occasionally complex and highly variable issues. Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken. Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning. In Depth and Hands on Knowledge on Ab-Initio, Hadoop Big Data, Python and SAS for Data Mining and for Data Analysis. Should be able to frame Data Extraction Scripts to extract the data and subject it to in-depth data analysis and should have experience in building automated analytics dashboard and reporting pipelines, reducing manual effort, and enabling real-time data insights. Lead end-to-end data analytics and reporting initiatives, analyzing complex financial data to uncover trends, patterns, and insights supporting business and regulatory needs. Develop and optimize SQL queries, and automation scripts in Oracle and Hive to streamline data extraction, transformation, and reconciliation. Design and deliver reporting and visualization solutions that translate data into actionable insights for senior stakeholders in Finance, Risk, and Operations Knowledge on preparation and submission of various regulatory reporting including CCAR 14M, CCAR 14A CCAR 14Q, FRY9C, FR2052A, FFIEC 101, FFEIC031, IFRS9, CECL etc.. as part of the Federal Reserve's stress testing and regulatory reporting framework. Should be able to drive data integrity, quality assurance, and process automation, identifying opportunities to enhance accuracy and efficiency through emerging technologies. Having knowledge on Regulation reporting is a plus Bachelor's/University degree or equivalent experience, potentially Masters degree

  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
  • Lead end-to-end data analytics and reporting initiatives, analyzing complex financial data to uncover trends, patterns, and insights supporting business and regulatory needs.
  • Develop and optimize SQL queries, and automation scripts in Oracle and Hive to streamline data extraction, transformation, and reconciliation.
  • Design and deliver reporting and visualization solutions that translate data into actionable insights for senior stakeholders in Finance, Risk, and Operations
  • Drive data integrity, quality assurance, and process automation, identifying opportunities to enhance accuracy and efficiency through emerging technologies.
  • Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
  • Strong ETL knowledge (Abinitio, Pyspark )
  • Good Analytical skills and Banking Knowledge.
  • Should be sound on business Analysis.
  • In Depth and Hands on Knowledge on Ab-Initio, Hadoop Big Data, Python and SAS for Data Mining and for Data Analysis.
  • Should be able to frame Data Extraction Scripts to extract the data and subject it to in-depth data analysis and should have experience in building automated analytics dashboard and reporting pipelines, reducing manual effort, and enabling real-time data insights.
  • Knowledge on preparation and submission of various regulatory reporting including CCAR 14M, CCAR 14A CCAR 14Q, FRY9C, FR2052A, FFIEC 101, FFEIC031, IFRS9, CECL etc.. as part of the Federal Reserve's stress testing and regulatory reporting framework.
  • Bachelor's/University degree or equivalent experience, potentially Masters degree
  • Having knowledge on Regulation reporting is a plus
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