Job Description

Sr. Associate - AML Model Development at Santander Holdings USA Inc summary:

The Sr. Associate - AML Model Development is responsible for ensuring compliance with company policies related to AML risk management. This role involves analytical research, model development, and implementation of data-driven solutions using SQL and Python to enhance business operations and compliance. Additionally, the associate collaborates with stakeholders to optimize model performance and reporting, while adhering to legal and regulatory standards.

Sr. Associate - AML Model Development

Boston, United States of America

The Sr. Associate, AML Model Development 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.

This position is required to perform analytical research in support of a Compliance Department including the design, development, and implementation of information-based business solutions; developing complex inquiries with SQL, Python, and ETL to perform analyses of the underlying data in systems and highlight trends, issues, and findings; providing requisite information in support of independent audit activities; serving as a key Subject Matter Expert in the implementation of new technology initiatives to enhance data repositories, reporting, analytics, and overall program; and developing reporting solutions, including designing stored procedures, view queries, and table.

Essential Functions/Responsibility Statements:

• Collaborates with Model Owners, Model Risk Management, and various stakeholders throughout the organization to translate business requirements to technical requirements for model development, enhancement, tuning, optimization, and monitoring of model performance.
• Assess model health within a given framework using statistical methods, evaluation of assumptions, and drive timely remediation efforts.
• Execute on Book of Work for Compliance Risk Models, support project implementation impacting Compliance and its areas of oversight and collaborate with SHUSA and its subsidiaries to design various performance metrics.
• Ensure that all the company’s activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions and provide requisite information in support of independent audit activities.
• Perform analytical research in support of the Compliance Department, with a strong focus on AML/BSA, including the design, development, and implementation of information-based business solutions.
• Develop complex inquiries with SQL, Python and ETL to perform analyses of the underlying data in our systems and highlight trends, issues, and findings. Develop reporting solutions, including designing stored procedures, view queries, and tables.
• Serve as a key Subject Matter Expert in the implementation of new technology initiatives to enhance the Compliance data repositories, reporting, analytics, and overall program with a strong focus on AML/BSA compliance.

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.
• Master’s degree in Computer Information Systems, Business Analytics, or related field

Work Experience:

• 9+ years
• AML/OFAC exposure, Model Development experience

Skills and Abilities:

• Experience in model development, tuning, and optimization of AFC/AML models.
• Strong experience in Python, SQL, statistical methods and model development in cloud environments.
• Experience in handling large datasets and have performed data analysis to identify patterns and trends.
• Experience in performing time series and develop ongoing performance monitoring reports (OPM).
• Knowledge of banking regulatory environment and impact on risk, management practices.
• Successful track record in achieving outstanding levels of delivery, performance, challenge, and oversight.
• 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.

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:  Boston, MA, Boston

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

Salary: $108,750 - $195,000/year

Keywords:

AML, model development, compliance, risk management, SQL, Python, data analysis, ETL, business solutions, financial services

Job Tags

Contract work, Work experience placement,

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