Sr. Financial Crimes Systems Tuning Analyst - Remote or Hicksville, NY, or Manhattan, NY or Troy, MI

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Requirements:

• Undergraduate Degree in Business or Information Systems, or related field.
• 3-5 years of financial industry, BSA/AML or related experience.
• 3-5 years of experience with TM system Tuning & Optimization (ATL/BTL) analysis.
• 3-5 years of financial institution IT experience.
• Microsoft Excel (vlookups, pivot tables, macros), PowerPoint and Word
• SQL Server or similar SQL-based database
• Python, R Scripting or similar scripting language
• Tableau or similar data visualization tool

Responsibilities:

• Works with FCC team, supporting the workstream with key deliverables and projects, including periodic tuning and optimization and regulatory deliverables of FCC systems.
• Performs and documents procedures for data preparation including analysis and interpretation.
• Creates and executes a tuning process and ensure that a consistent and repeatable methodology is followed including but not limited to the following:
• Enhances rule execution efficiency.
• Develops and performs statistical analysis to identify patterns and correlations in the data.
• Creates visually compelling and easy-to-understand dashboards and reports adhering to best practices and governance standards.
• Communicates findings to stakeholders through charts, graphs, and presentations.
• Translates complex data findings into compelling narratives that drive business decisions using both static and dynamic analytic tools.
• Gathers and documents business requirements:  Works with key stakeholders in FCC department and understand their requirements to arrive at the desired end-state.
• Creates analytical data models to support dynamic reporting requirements to meet FCC functional requirements.
• Assists in designing and implementing risk-based alert scoring, addressing and resolving logic and configuration in monitoring scenarios.
• Actively participates in system upgrades.
• Assists in automated solutions to improve process efficiency.
• Uses advanced statistical techniques like clustering and regression analysis to ensure appropriate rigor around optimization process.
• Adheres to standards for segmentation methodology, scenario tuning methodology, peer grouping, below/above the line (BTL/ATL) sampling methodology.
• Configures/executes periodic above the line (ATL) and below the line (BTL) testing for AML rules.
• Provides detailed quantitative analysis of the test results.