Sr. Analyst, Compliance - AML Modeling

Company: Banco Santander SA
Location: Boston
Posted on: May 20, 2025

Job Description:

Sr. Analyst, Compliance - AML ModelingSr. Analyst, Compliance - AML ModelingCountry: United States of AmericaThe Sr. Analyst, AML Models - Compliance monitors activities to minimize the company's exposure to Compliance and AML risk. Activities may include quantitative analysis, risk identification and remediation. Represents or supports the reputation of the company to minimize compliance and regulatory risk by resolving issues and ensuring adherence to company and legal standards. Responsible for ensuring that all of the company's activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions.The ideal candidate will play a key role in managing and mitigating model risk related to anti-money laundering (AML) models. You will work closely with the model development, validation, and governance teams to ensure models adhere to regulatory standards and address Model Risk Management Group (MRMG) findings. Supports ongoing compliance with applicable regulations, driving the execution of action plans to mitigate risks and improve model performance. Monitors and manages risk/exposure and by adhering to company's policies. Identifies, manages and reports on the company's risk areas. Evaluates the adequacy and effectiveness of data, model, and monitors systems.Responsibilities:

• Supports the AML and Model Risk Management teams to establish and leverage appropriate systems and processes to develop, validate, and maintain optimal efficiency and effectiveness of financial crime models.
• Work closely with business stakeholders to provide detailed model documentation, including validation reports, assumptions, limitations, and compliance metrics. Assess model health within a given framework using statistical methods, evaluation of assumptions, and drive timely remediation efforts.
• Maintain and execute inquiries with SQL, SAS, 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.
• Assist in the development and maintenance of model risk and model policies, guidelines, validation and development procedures, controls, tools and templates.
• 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.
• Assists senior level staff and management as requested.
• Performs other duties and responsibilities as assigned.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: Statistics, Mathematics, Economics or equivalent quantitative discipline.
  • Master's Degree Statistics, Mathematics, Economics or equivalent quantitative discipline.Work Experience:
    • 3+ Years Risk Management, Risk Modeling, AML
    • 2+ of those years Analytics or ModelingLicenses / Certification:
      • Preferred: Python, MS 360, SAS, Oracle, or similarSkills and Abilities:
        • Demonstrated practical and theoretical knowledge of financial data, their structure and behavior in various environments.
        • Demonstrated knowledge of data querying languages and software.
        • Strong experience in Python, SAS, SQL, statistical methods and model development in cloud environments. Experience in scheduling and automation tools is a big plus.
        • Strong quantitative capabilities and analytical skills, including an investigative mindset.
        • Strong problem solving and critical thinking skills.
        • Strong verbal and written communication skills.
        • Ability to build and foster internal relationships.
        • Strong organizational and time management skills.
        • Ability to analyze risk and provide recommendations and/or resolutions to minimize risk.
        • Ability to summarize, document, and communicate information in a clear and concise manner.
        • Ability to organize and prioritize multiple tasks to meet deadlines.
        • Ability to work independently as well as collaboratively within a team environment.
        • Ability to interpret, analyze and apply data/information.
        • Ability to stay abreast of industry best practices, procedures, and techniques.
        • Ability to change direction as project demand dictates.
        • Ability to effectively and clearly communicate instructions to others, summarize and articulate issues, and document findings in a clear and concise manner.EEO Statement: At Santander, we value and respect differences in our workforce. 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.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.Base Pay RangeMinimum: $67,500.00 USDMaximum: $140,000.00 USD
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Keywords: Banco Santander SA, Concord , Sr. Analyst, Compliance - AML Modeling, Professions , Boston, New Hampshire