Director, AML Compliance Modeling Job at Santander Holdings USA, Inc., Boston, MA

  • Santander Holdings USA, Inc.
  • Boston, MA

Job Description

Director, AML Compliance Modeling

Boston, United States of America

The Director, AML Modeling is part of the Compliance Analytics team which is responsible for overseeing risk management strategies to prevent, detect and disrupt usage of Bank products and services for the purposes of money laundering, terrorist financing, bribery, corruption and economic sanctions avoidance. The primary role of the Anti-Money Laundering (AML) Modeling team is the design and development of AML models used to detect possible money laundering or terrorist financing activities. AML models have to be properly designed, tested, validated and approved before they can be implemented into production. Existing models must be periodically monitored, calibrated and if necessary, modified or replaced.

The Director, AML Modeling will oversee a team of quantitative professionals by providing strategic and thought leadership to protect the bank from regulatory and reputational risk. This position is responsible for leading and overseeing projects and associates with the Company's quantitative models, model design, and model misuse of a model or its output. The incumbent is responsible for executing model risk management activities consistent with the framework, industry best-practice and regulatory guidance.

Job Description

Ensures adherence to the policies and procedures established by the company. Manages policy, standard definition and monitoring of policy, standard implementation, ensuring harmonization and consistency of risk policies. Monitors and manages risk/exposure and compliance with the company's policies. Identifies, manages and reports on the company's risk areas. Evaluates the adequacy and effectiveness of data, document retention, and monitors systems.

Essential Functions/Responsibility Statements:

  • Develops new methodologies and approaches to the management of model risk.
  • Promotes a risk management culture by encouraging team to embrace appropriate risk practices and supporting team members in fulfilling risk management responsibilities.
  • Proactively identifies areas of issues or concerns related to potential gaps in existing processes, procedures, policies, frameworks.
  • Informs perspective on market environment, future trends, and emerging risk issues.
  • Responds to required corrective actions in a timely and complete manner.
  • Assess and evaluates model conceptual soundness, model assumptions, and data integrity.
  • Tests risk model numerical, statistical, and computational accuracy; performs outcomes analysis; and reviews model governance and control process.
  • Communicates with senior management on risk modeling, decision, and data for improved efficiency, effectiveness, and/or risk reduction to the company.
  • Executing model risk management activities and projects consistent with the Enterprise MRM framework, industry best-practice and regulatory guidance.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


  • Bachelor's Degree or equivalent work experience: Mathematics, Physics, Statistics or equivalent quantitative field.
  • Preferred: Master's Degree Mathematics, Physics, Statistics or equivalent quantitative field.

Work Experience:

  • 12+ Years Risk Management, Risk Modeling
  • AML Experience Required
  • Technical knowledge in SAS

Skills and Abilities:

  • Comprehensive knowledge of front to back risk mgmt. processes, including: Operational risk, Risk identification, assessment, mitigation and control, Governance and reporting, Monitoring and testing, Operational risk modeling, capital calculation and
  • Knowledge of banking regulatory environment and impact on risk, management practices.
  • Demonstrated stress testing techniques.
  • Demonstrates an informed perspective on Market environment, future trends, and emerging
  • Ability to lead complex projects with outstanding awareness of the Operational Risk associated.
  • Adherence to the Code of Conduct, assigned Risk Tolerance or Mandates and all organizational policies and procedures applicable.
  • Strong negotiation and presentation skills.
  • Superior project management skills.
  • Strong quantitative skills and practical modeling experience.

Diversity & EEO Statements: At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We actively encourage everyone to apply.

Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.

Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate at any time for any reason. Masters of Science (MS) English

Primary Location:  Boston, MA, Boston

Other Locations:  Massachusetts-Boston

Organization:  Santander Holdings USA, Inc.

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Salary: $180,000 - $245,000/year

Job Tags

Hourly pay, Contract work, Work experience placement,

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