: Vice President; Sr Quantitative Fin Analyst

Overview

This role involves conducting quantitative analytics and complex modeling projects focused on financial crime detection, specifically anti-money laundering (AML). The position requires expertise in statistical modeling, machine learning, and model validation within a regulated financial environment.

Responsibilities

• Conduct quantitative analytics and complex modeling projects for specific business units or risk types.
• Review analytic processes, system approaches, and technical documentation related to modeling activities.
• Perform independent model validation, annual model reviews, ongoing monitoring report reviews, required action item reviews, and peer reviews.
• Conduct governance activities including model identification, model approval, and breach remediation reviews.
• Provide hands-on leadership for projects involving statistical modeling and machine learning to challenge and influence strategic and tactical approaches.
• Communicate and collaborate directly with modeling teams, Front Line Units, internal audit (third line of defense), and external regulators as needed.
• Prepare technical reports for distribution and presentation to model developers, senior management, audit teams, and banking regulators.
• Serve as a senior-level resource or expert on analytic and quantitative modeling techniques used for anti-money laundering.
• Remote work may be permitted within a commutable distance from the worksite.

Required Skills & Experience

• Master's degree or equivalent in Economics, Statistics, Finance, or a related field.
• Minimum of 5 years of experience in a quantitative role or related occupation.
• At least 5 years of experience in each of the following areas:
  • Utilizing current modeling and data science principles including time-series analysis, machine learning, and deep learning to validate financial crime detection models.
  • Applying statistical techniques to analyze trends and identify risks and opportunities related to anti-money laundering detection.
  • Supporting independent model validation and regulatory examination activities in compliance with internal policies and U.S. Federal Reserve regulations.
  • Evaluating quantitative modeling and analytics projects through risk analytics.
  • Providing governance oversight for multiple financial crime detection models within model risk management.

Compensation & Benefits

• Full-time position with a 40-hour workweek.
• First shift schedule.

Location

• United States (remote work may be allowed within a commutable distance to the worksite).