Model Validation

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Job title : Model Validation Job ID: 25-06318 Location : Charlotte, NC Duration: 06 Months on W2 Contract

MUST HAVE: Strong programing skills in Python and SAS; Model Development experience. Background in Risk Management is a huge plus. Model Risk development experience from a large bank is a huge plus.

Responsibilities:
• Assess model risk and validate accuracy and performance of models using statistical/machine-learning techniques, such as credit, fraud, collections, marketing, information technology, etc.
• Serve as a lead analyst performing model validation, creating proper documentation and managing end-to-end model reviews independently with minimal supervision and within expected timelines.
• Perform in-depth analysis on large data sets and models, prepare es and reports to support discussions, and identify issues requiring remediation.
• Effectively challenge on the advanced quantitative assessments of all aspects of models including theoretical model design, model development evidences and processes, model implementation, data integrity and performance reliability.
• Communicate technical information verbally and in writing to both technical and business audiences effectively.
• Liaise with the Client s business teams to uncover, highlight, and identify model risk associated with models.
• Ensure model reviews and validations are performed compliant with Client s Model Risk Management Standards and Validation Procedures.
• Support regulatory examinations and internal audits for selected models when required.

Qualifications/Requirements:
• Master's degree (or foreign equivalent) in Statistics, Mathematics, Data Science or related quantitative field and 4+ years' experience in model development / model validation experience in financial services or banking.
• Strong programing skills in Python and SAS with 4+ years experience and proven hands-on experience utilizing Python and SAS to perform statistical analysis and manage large amounts of data.
• 4+ years experience with application of US regulatory requirements for Model Risk Management.
• Strong knowledge in statistics and machine learning techniques.
• Knowledge and experience of banking risk management, credit cards products, and consumer credit lending models used for credits, frauds, collection, marketing, information technology, etc.
• Sharp focus on accuracy with extreme attention to detail.
• Strong execution with proven track records of delivering timeline-sensitive deliverables.
• Excellent oral and written communication skills.