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Model Validation Manager

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Job Description - Model Validation Manager




















Essential Function / major duties and responsibilities of the job



 


•      Independently perform model validation according to MRM’s validation standards.


•      As part of validation, it may become necessary to independently code replications of the models used in production.


•      For models already independently replicated for MRM, the Model Validation Manager will need to run the MRM model and reconcile against production model runs.


•      Document this review and challenge in validation reports.


•      MRM is engaging a professional firm to perform a significant part of CLS’s model validation book of work. The Model Validation Manager will collaborate with this firm for the validation of certain models.


•      Communicate effectively with model owners/developers: In the course of validation to obtain clarification and to request specific data and production model outputs. Post validation to manage the finding lifecycle: Achieving agreement on validation findings and observations, including corrective action plans to remediate the findings, and reviewing model owner requests for finding closures.


•      Actively contribute to validation report / validation finding peer reviews, to ensure consistency in validation work across all validators.


 



Leadership


•      Apply soft skills to build consensus and stakeholder buy-in.



Experience / essential and desired for successful job performance



•      3+ years’ experience in model validation or model development at a regulated financial institution.


•      Knowledge of US Banking Regulations (Federal Reserve Board)












Qualifications / certifications



•      Minimum bachelor’s degree (master’s degree / Ph.D. preferred) with concentration in a quantitative discipline such as, engineering, econometrics, statistics, physics, mathematics etc.


•      3+ years’ experience of quantitative analysis in the financial services sector. Solid quantitative and qualitative risk assessment skills. Experience in model validation and/or model development preferred.


•      Team-oriented with a strong sense of ownership and accountability.


•      Strong verbal and written communication skills.


•      Extensive experience with numerical and statistical tools: e.g. Python, R, MATLAB, SAS, C++, Java.


•      Knowledge of regulatory guidance on model risk management and industry best practice.


•      Knowledge of capital market products, especially FX, a plus.



•      Understanding of settlement and clearing, and the differences is a plus.



 


 


















Knowledge, skills and abilities / competencies required for successful job performance



·      Perform independent model validation, under the guidance of the Lead Model Validator.


·      Ability to write, review, critique, and improve long validation reports


·      Interact with model owners / model developers on all issues of model validation and subsequent actions, such as agreement on findings, finding remediation plans, finding closure reviews, etc.


·      Ability to code independent replications of production models, based on model documentation and, if required, further clarification directly obtained from model owners / model developers.


·      Participate in peer review of model validation reports.


 



Success factors / ‘How’. Personal characteristics contributing to an individual’s ability to excel in the position



·      Strong quantitative skills.


·      Excellent interpersonal communication skills, both written and verbal.


·      High ethical standards and a profound sense of integrity and confidentiality.


·      Challenging assumptions and maintaining independence and objectivity.


·      Build consensus, to influence both internal and external stakeholders.


·      Results oriented team player.



 

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