Lead Advisor - Model Risk Management (AML Models)

Role Overview: The Lead Advisor - Model Risk Management (MRM) will be responsible for conducting thorough and comprehensive model validations to ensure that models align with business objectives and design objectives. This includes verifying that models are performing as expected, identifying potential limitations, and assessing potential impact. The role will work collaboratively with the global MRM team and act as their point of contact in India. Key Responsibilities: - Conduct comprehensive validations of various model components to ensure accuracy, reliability, and alignment with business objectives and regulatory requirements - Analyze model inputs by applying data analysis techniques to assess data quality, integrity, and appropriateness - Evaluate the model design and construction, review model segmentation, variable selection, testing procedures, assumptions, limitations, and risks - Review model code for correctness, accuracy, and absence of errors, collaborate with developers to address issues - Assess in-sample and out-of-sample back test results, sensitivity testing, stress testing, model development, and performance metrics - Identify potential model risks, recommend mitigation measures, and enhance model quality and compliance with regulatory standards - Produce high-quality validation reports communicating findings, recommendations, and risks to stakeholders - Assist in gathering materials for internal audit and regulators, drafting responses, and defending validations - Stay updated with emerging trends and best practices in model validation, suggest process improvements, and implement methodologies - Interact with stakeholders throughout the model lifecycle, build relationships, proactively identify and address gaps, and contribute to remediation efforts Qualifications Required: - Strong understanding of regulatory requirements, particularly related to BSA/AML and compliance - Experience in AML model development, validation, analytics, and business intelligence - Proficiency in statistical tools like SAS, Python, R, and SQL - Excellent analytical, problem-solving, written, and verbal communication skills - Strategic planning, stakeholder management, and task management skills - Bachelor's or master's degree in mathematics, Computer Science, Finance, Accounting, Economics, Statistics, or related quantitative subjects - 5 years of experience in BSA/AML analytics, model validation, financial crime space - Proficiency in end-to-end model development and validation, programming languages, regulatory compliance, statistical and machine learning models (Note: Additional details about the company were not provided in the job description.) Role Overview: The Lead Advisor - Model Risk Management (MRM) will be responsible for conducting thorough and comprehensive model validations to ensure that models align with business objectives and design objectives. This includes verifying that models are performing as expected, identifying potential limitations, and assessing potential impact. The role will work collaboratively with the global MRM team and act as their point of contact in India. Key Responsibilities: - Conduct comprehensive validations of various model components to ensure accuracy, reliability, and alignment with business objectives and regulatory requirements - Analyze model inputs by applying data analysis techniques to assess data quality, integrity, and appropriateness - Evaluate the model design and construction, review model segmentation, variable selection, testing procedures, assumptions, limitations, and risks - Review model code for correctness, accuracy, and absence of errors, collaborate with developers to address issues - Assess in-sample and out-of-sample back test results, sensitivity testing, stress testing, model development, and performance metrics - Identify potential model risks, recommend mitigation measures, and enhance model quality and compliance with regulatory standards - Produce high-quality validation reports communicating findings, recommendations, and risks to stakeholders - Assist in gathering materials for internal audit and regulators, drafting responses, and defending validations - Stay updated with emerging trends and best practices in model validation, suggest process improvements, and implement methodologies - Interact with stakeholders throughout the model lifecycle, build relationships, proactively identify and address gaps, and contribute to remediation efforts Qualifications Required: - Strong understanding of regulatory requirements, particularly related to BSA/AML and compliance - Experience in AML model development, validation, analytics, and business intelligence - Proficiency in statistical tools like SAS, Python, R, and SQL - Excellent analytical, problem-solving, written, and verbal communication skills - Strategic planning, stakeholder management, and task management skills - Bachelor's or master's degree in mathematics, Computer Science, F