The anticipated salary range for this role is between $82,000.00 and $96,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees. Role Description SMBC is seeking a qualified individual as a Model Validation Analyst that will report to the Compliance Model Validation Manager, in the Risk Management Department, Americas Division. The Compliance Model Validation Analyst will perform the validation of all compliance models for SMBC Role Objectives Document model development to standards consistent with regulatory expectation. Validate suitability of models for business purpose and according to internally developed standards. Assist in drafting policies and procedures for model development and maintenance. Audit policies and procedures. Create a number of backtesting methodologies to ensure models are producing expected results. Help validate model tuning for changes in transaction levels / types, market conditions and risk appetite. Role Responsibilities Conduct end-to-end validations and reviews of BSA / AML / Fraud models, assessing model risk from the aspects of conceptual soundness, data quality, model / scenarios design, model usage, model implementation, model performance, model control and ongoing performance monitoring Identify model deficiencies through validations, communicate the issue with model owners and senior management, and provide feasible and adequate recommendations Develop and maintain documentation templates, testing packages and automation tools / scripts to standardize validation processes Support audits and examinations for compliance and fraud risk models Maintain up-to-date knowledge in AML / fraud regulations and industry best practice Qualifications and Skills Minimum master’s or equivalent degree in Statistics, Mathematics, Engineering, Computer Science or related fields Preferred experience in compliance analytics, BSA / AML model validations, or related domains in financial institutions or consultancies Working knowledge in data science, with capability to cleanse, parse, restructure, and validate large datasets Experience of developing / validating machine learning models is preferred Familiarity with Oracle Database, Actimize SAM, and Fircosoft preferred Proficient in programming in SQL, Python / R, Hadoop and familiarity with Azure Cloud environment. Full stack knowledge is a plus but not compulsory. Good understanding of the finance industry and business lines Strong reasoning ability, analytical skills, and communication #J-18808-Ljbffr SMBC Group
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