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Director, AML Modeling

Santander Holdings USA Inc
Posted 5 days ago, valid for a year
Location

Florham Park, NJ 07932, US

Salary

$150,000 - $245,000 per annum

Contract type

Full Time

By applying, a Santander account will be created for you. Santander's Privacy Policy will apply.

Sonic Summary

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  • The Director, AML Modeling position in Dallas is responsible for leading projects related to Anti-Money Laundering models to detect and prevent financial crimes.
  • Candidates should have at least 12 years of model development experience in AFC/AML or a related field, with a strong background in quantitative analysis.
  • The role involves developing methodologies for managing AML model risk and optimizing models using various statistical methods.
  • The salary for this position ranges from $150,000 to $245,000 per year, depending on experience and qualifications.
  • The incumbent will also provide strategic leadership to a team of quantitative professionals while ensuring compliance with regulatory guidance.
Director, AML Modeling

Dallas, United States of America

Job Description Summary

The Director, AML Modeling is responsible for leading projects associated to AML (Anti-Money Laundering) models to prevent and detect usage of bank products and services for the purposes of money laundering, terrorist financing and sanctions avoidance. The primary role of AML modeling team is to design develop AML models. Apply both quantitative and qualitative methods and approaches to Tune and Optimize AML models.

The incumbent will be an individual contributor as well lead the team of quantitative professionals by providing strategic and thought leadership to protect the bank from AML risks. The incumbent is also responsible for addressing and executing model risk management activities consistent with framework, best-practice and regulatory guidance.

Essential Functions/Responsibility Statements:

  • Develops new methodologies and approaches to the management of AML model risk.
  • Follow frameworks and methodologies to develop and enhance models. Tune and Optimize the models using various statistical methods.
  • Develops Ongoing Performance Monitoring reports to monitor model performance and proactively identify the model risk and weakness.
  • 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.
  • 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.

Education:

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 model development experience in AFC/AML or related field

Skills and Abilities:

  • Has proven experience in AML model development, Scenario Tuning and Optimization, Entity segmentation and resolution.
  • Experience in framework and control development.
  • Statistical/data analytical skills, including data validation and experience in predictive modeling.
  • Proven experience in addressing model risk management and audit findings.
  • Knowledge in data analysis, data management and data governance.
  • Familiarity with guidance on Model Risk Management (SR 11-7, OCC 2011-12, etc.).
  • Experience in cloud data infrastructure.
  • Knowledge of banking regulatory environment and impact on risk, management practices.
  • Demonstrated various testing techniques to ensure model soundness.
  • 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 presentation and documentation skills.


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.



Primary Location: Dallas, TX, Dallas-Corporate THX


Other Locations: Texas-Dallas,New Jersey-Florham Park,New York-New York,Massachusetts-Boston


Organization: Santander Holdings USA, Inc.

Salary: $150,000 - $245,000/year




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By applying, a Santander account will be created for you. Santander's Privacy Policy will apply.