AML Model Risk Analyst

The AML Model Risk Analyst is responsible for performing ongoing quantitative and qualitative analysis of the Transaction Monitoring, Customer Risk Scoring/Rating (CRR) and Watch List Filtering (WLF) models. Under the guidance of the Director of AML Models and Systems, s/he will be responsible for conducting scenario analysis and optimization to improve system performance and assessing overall system effectiveness to identify underperforming model scenarios. Core responsibilities include data collection, analysis, building and implementing models, tuning, and enhancing models, and model documentation. The Analyst will also be responsible for monitoring industry developments and ensuring that the Bank remains in compliance with all applicable federal laws and regulations, including the Bank Secrecy Act and USA PATRIOT Act.

RESPONSIBILITIES

• Tests and evaluates large data sets to assess quality and confirm proper implementation and model performance.

• Leverages machine learning capabilities to facilitate development initiatives and drive model effectiveness and efficiency.

• Conducts tuning on a variety of analytical models, which includes but is not limited to Transaction Monitoring, Customer Risk Scoring, and Watchlist Screening to ensure they meet U.S. AML compliance program and regulatory expectations.

• Monitors the efficacy of scenarios by creating key performance metrics to assess and analyze rule effectiveness, identifying underperforming scenarios and developing ways to improve system effectiveness.

• Assists the Director of AML Models and Systems in maintaining an effective AML model risk management program, which includes managing model documentation, such as data mapping and tuning methodologies.

• Aids in the ongoing change process, which includes the development and enhancement of policies and procedures that relate to system(s) upgrades, system access and permissions and the testing of access and permissions.

• Monitors the AML model risk and controls environment to ensure system effectiveness and scenario coverage of financial crime and customer risk typologies.

• Conducts an annual coverage assessment to quantify AML risk exposure and address best practices for minimizing risk exposures.

• Applies innovative and quantitative analytical approaches to assess future risk, draw conclusions and make recommendations related to AML systems effectiveness.

• Maintains an understanding of money laundering and terrorist financing issues, including policies, procedures, regulations, industry best practice, criminal typologies and developing trends.

• Understands how the Bank's risk appetite and risk culture should be considered in day-to-day activities and decisions.

• Ensures day-to-day operations are conducted in compliance with regulatory and legal requirements and the organization's policy.

• Other duties as assigned.

QUALIFICATIONS

• Minimum of 5 years in BSA/AML/OFAC compliance experience, with at least 2 years of experience in tuning and optimization and model governance.

• Hands-on experience with standard data analytics tools and technologies (SQL, R, Python, Tableau, and Power BI).

• Working knowledge of AML and OFAC monitoring and detection systems.

• At least 2 years of strong quantitative testing and statistical analysis techniques as it pertains to BSA/AML models, including name similarity matching, classification accuracy testing, machine learning, neural networks, fuzzy logic matching, decision trees, etc.

A reasonable, good faith estimate of the minimum and maximum base salary or pay for this position is $38.32 to $57.49. Actual compensation will vary based on various factors including but not limited to location, experience, and performance. A discretionary bonus and/or business line incentive may be provided, in addition to a medical and other benefits, dependent on the position. For more information regarding our benefits, please visit https://www.ppbi.com/careers.html

#Li-Onsite