Valley Bank Job - 48788875 | CareerArc
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Company: Valley Bank
Location: New York, NY
Career Level: Mid-Senior Level
Industries: Banking, Insurance, Financial Services

Description

Responsibilities include but are not limited to:

  • Construct scalable and efficient ETL data pipelines using SQL and Python, leveraging Snowflake and SQL Server. Responsibilities include integrating data from various sources into data warehouses and external tools, supporting both new and existing data products.
  • Design and maintain engaging Power BI dashboards. Ensure these dashboards deliver insightful and actionable data visualizations, with a focus on user-friendliness and regular updates to reflect current data.
  • Develop and upkeep scripts for fine-tuning financial crime models, focusing on performance enhancement and optimization.
  • Uphold coding best practices, including format standardization, naming conventions, and version control. Responsibilities also include reviewing and approving code changes and pull requests in Git.
  • Work closely with data scientists to analyze and source data from strategic sources. Assist in managing Machine Learning operations (MLOps) for actively used production models.
  • Apply quantitative methods, such as predictive modeling and forecasting, to create capabilities that meet business, risk management, and regulatory compliance objectives.
  • Exhibit a proven ability to communicate complex quantitative solutions to senior stakeholders, with a focus on driving business growth and addressing critical challenges.
  • Support the Financial Crimes Group's periodic risk assessments through the analysis of data elements related to potential indicators of customer, product, or geographic risk, evaluating and enhancing the Group's risk rating methodologies, and identifying new quantitative factors that can be incorporated into the risk assessment process.
  • Conduct ad hoc analyses for FCC, company leadership and business partners, as needed.


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