Associate Director, Enterprise Risk Management

What is the opportunity?

As Associate Director, Enterprise Model Risk Management (EMRM) in our Group Risk Management (GRM) team, you will execute and document validation of the Bank's enterprise-wide credit risk rating systems and methodologies, with focus on Retail and Wholesale credit risk systems including wholesale, retail, and margin lending parameters (Probability of Default ("PD"), Loss given Default ("LGD") and Exposure at Default ("EAD")) used in both regulatory and economic capital.

You will develop and implement tools and methodologies required to underpin credit risk systems and parameters validation, and provide insightful robust analyses of credit risk systems including risk quantification validation.

What will you do?

• Perform ongoing Retail and Wholesale credit risk systems including parameters validations and provide insightful analysis of validation results
• Perform a wide range of data reconciliations and analyses, e.g. organizing, interpreting and analyzing data using various statistical techniques catered for validation purposes
• Execute and document appropriate quantitative and qualitative tests, review of the logic and conceptual soundness of credit risk rating systems, parameters and their inputs, accuracy, sensitivity, back testing, benchmarking etc.
• Develop and enhance approaches tailored to timelines and data availability, utilizing detailed or 80/20 solutions, and quantitative and/or qualitative approaches, as appropriate
• Deliver validation findings and elicit feedback and remediation action plans / solutions from model stakeholders
• Ensure project and risk objectives are accomplished within approved timeframes and complied with regulatory requirements, model risk policy and model operating standards

What do you need to succeed?

Must-have

• Graduate degree in a quantitative discipline such as computer science/information system, statistics, econometrics and/or a relevant professional qualification
• 2+ years of analytical and quantitative experience with a financial institution, in a related role such as a model developer/validator, data miner/analyst, or a risk manager
• Understand various data system structures/processes and how they affect the inputs and outputs of credit risk validation data
• Ability to communicate, verbally and in writing, complex concepts to a non-technical audience
• Strong conceptual, analytical, detail-oriented and problem solving skills
• Strong computer skills - Python, SAS, SQL and Excel required
• Ability to work with large volume of data and various IT infrastructures
• Execute with urgency while maintaining quality and efficiency
• Adapt to shifting priorities, coupled with a sense of urgency
• Works well in teams

Nice-to-have

• Ability to work in Unix, Teradata Data Warehouse and/or Hive Data Lake environments
• Exposure to credit risk system design and Basel parameter estimation is an asset
• Proactive learning and working skills