The Commercial & AML Compliance Risk Model Validation Associate is responsible for executing model risk management activities, validating AML and commercial credit risk models, and ensuring they meet regulatory requirements. The role involves developing complex SQL, SAS, and Python inquiries for data analysis and trend identification. The Associate evaluates the adequacy of data integrity and model assumptions while managing compliance with company policies.
Commercial & AML Compliance Risk Model Validation Associate New York, United States of AmericaThe Associate, Risk Modeling is responsible for executing model risk management activities consistent with the enterprise model risk management framework, industry best-practice and regulatory guidance.
Executes model risk management activities consistent with the enterprise model risk management framework, industry best-practice and regulatory guidance.
Validate AML and commercial credit risk models to confirm they meet regulatory and internal requirements.
Develop complex 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.
Assesses risk model conceptual soundness.
Evaluates model assumptions and data integrity.
Tests models numerical, statistical, and computational accuracy.
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.
Qualifications
Education: Bachelor's Degree or equivalent work experience.
Work Experience: 5+ years in model development and/or validation in the banking or financial services industry.
Worked with SAS, Python, R, Oracle, or Similar.
Advanced knowledge of model risk management best practices and how to implement them.
Advanced quantitative skills.
Demonstrated practical modeling experience.
Detail orientated with the ability to also understand overall strategy.
Ability to multi-task and meet strict deadlines.
Ability to adjust to new developments/changing circumstances.
Ability to lead, influence and direct peers, subordinates and management.
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.
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: New York, NY, New York
Other Locations: New York-New York,New Jersey-Florham Park
Organization: Santander Holdings USA, Inc.
Salary: $108,750 - $195,000/yearmodel risk management, AML compliance, credit risk validation, data analysis, SQL, SAS, Python, financial services, quantitative analysis, regulatory compliance
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