Manager, US Model Validation; Banking Book & NFR

Job Summary

The job holder will be required to perform an independent review of wholesale credit risk, treasury, liquidity and some of non-financial risk models that are used for various purposes in the Standard Chartered US branch.

Validation tasks include qualitative and quantitative review of model design and model performance and document the outcomes from the review. The depth of review varies, depending on the materiality of the models and the availability of the validation data.

The job holder should have extensive experience in model validation (or model development) and have good understanding of validation requirements in relation to the wholesale credit risk and treasury models. Knowledge of model validation for non-financial risk models (such as operational risk models or financial crime detection models) would also be very useful.

• Lead and coordinate the validation of banking book (including some of non-financial risk models) that are used for various purposes in the Standard Chartered US branch
• Assist Head of Model Validation in addressing concerns or questions relating to models used for US country

• Performs an independent review / validation of wholesale credit risk, treasury, liquidity and some of non-financial risk models that are used for various purposes in the Standard Chartered US branch.

• Liaise with Group Model Developers and Country model owners/users and users in order to assess the effectiveness of the overall 1
  
  LoD model monitoring process (specific to model use for US).
• Perform model validation and documentation of validation findings, communication of results to senior management and presenting the model validation summary to relevant committees.
• Coordinate with Group GMV team where validation can leverage the Group level analysis
• Coordinate with model monitoring team where validation can leverage some of the monitoring analysis

• Perform model validation to meet SCB US Country requirements.
• Support US country team in addressing the model-related questions or concerns raised by relevant US regulators.
• Support US country team in ensuring that the model validation process is in line with US local regulatory requirements.
• Build good production relationship with Group and US country stakeholders, especially model owners and model users.
• Review regulatory requirements and industry practice specific to US and incorporate them in the model validation process and criteria.
• Control and manage the operation risk related to the model validation activities in US branch.
• Submission of model validation reports to relevant Group or US Local Model Assessment Committee.
• Attend Group or US Local Credit Model Assessment where the report is being presented for discussion, review and/or approval.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

• Expertise in analytics, developing or validating statistical models within banking industry.
• Deep understanding and extensive experience in credit risk modelling, Treasury modelling and/or stress testing analysis.
• Good understanding of models used in non-financial risk area, especially for models related to financial crime risk management
• Strong communication and project management skills.
• Strong focus on quality control and attention to detail.
• Knowledge of banking data and IT infrastructure, including data management and data quality control
• Effective presentation and business engagement skills at senior executive level.

• At least graduate level (or equivalent) qualifications in statistics, banking, finance, econometrics, mathematics or related quant field. Candidate with postgraduate degree will receive extra consideration.
• At least 7 to 10 years of hands on experience in quantitative modelling and/or model validation with focus on credit risk and treasury models. Candidate with modelling experience in the non-financial risk models (such as financial crime / fraud detection) will receive extra consideration.
• Advance knowledge in the model risk management practice in US including expert knowledge in the model-related regulations and industry best practice.
• Advance skill in project management - ability to manage complex projects end to end.
• Effective communication, presentation and business engagement skills at senior executive level.
• Solid programming experience such as in Matlab, SAS, R or Python with hands on work experience in credit risk or treasury models in banking / finance.

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