Senior Model Risk Analyst

Role Overview: As a Senior Model Risk Analyst in the Market Risk function within the Risk business unit, your primary responsibility will be to assess and validate quantitative models utilized across Treasury, Wholesale, and Retail functions. These models play a crucial role in internal decision-making and product disbursement and are governed by the banks Model Risk Management framework. Your role will involve evaluating model performance, quantifying model risk, and ensuring alignment with industry best practices. Additionally, you will contribute to enhancing the model risk governance framework and effectively communicate risk insights to senior management. Key Responsibilities: - Conduct model validation utilizing techniques such as econometrics, financial engineering, advanced statistics, machine learning, and data analysis. - Evaluate and validate models across various domains including Retail Analytics, Trading Risk, and Wholesale Credit Risk. - Quantify model risk and prepare periodic reports to convey the banks model risk status to senior management. - Review and enhance the banks Model Risk Management framework to align with industry best practices. - Maintain the banks model register and associated validation documentation to support the model risk governance process. - Communicate effectively with senior management and business heads through clear and concise written and verbal updates. Additional Details of the Company: The company places a strong emphasis on staying updated with the latest trends in model development, maintenance, and risk management. As a Senior Model Risk Analyst, you will have the opportunity to recommend improvements to existing models to enhance business efficiency and decision-making. Qualifications Required: Education: - Bachelors degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Economics, or related fields - Masters degree or MBA in Finance is preferred Experience: - Minimum of 2 years of relevant experience in model validation, development, or risk management, particularly in Retail, Wholesale, or Market Risk domains Skills and Attributes: - Strong expertise in quantitative modeling techniques and statistical tools - Proficiency in programming languages such as Python, R, or SAS - Deep understanding of model risk governance and regulatory expectations - Excellent analytical, problem-solving, and documentation skills - Strong communication skills for engaging with senior stakeholders - Ability to manage multiple validation projects independently,