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This position is within the Qualitative Model Validation team, which is part of the Model Risk Management (MRM) group within the Risk organization. The Qualitative Model Validation team is responsible for reviewing and assessing qualitative models as part of Citi’s Model Risk Management framework.
Job Responsibility:
Performing independent validation of qualitative models across the firm
Critically reviewing the appropriateness of a Qualitative Model versus alternative quantitative approach
Producing high value models validation reports
Evaluating testing approach and results for individual models
Assessing the ongoing performance monitoring of the models
Contributing to regulatory and internal audit related responses
Collaborating with other teams within Risk and the Business
Assisting with preparing the reports and other meeting materials to MRM senior management
Supporting the process of designing, developing, delivering and maintaining best-in-class qualitative model validation process standards
Requirements:
Minimum Bachelor’ degree in Finance or Economics, or quantitative discipline (statistics, quantitative finance, econometrics)
Masters’ degree is preferable
Ideally 5 years of experience / knowledge of Banking, Treasury, Finance / Risk management preferred
Demonstrate excellent partnership and teamwork skills
Ability to clearly and concisely formulate findings in a written form and good verbal communication skills
Good analytic, creative thinking and problem solving abilities
Adept and meticulous at analysis and documentation
Ability to multi-task, work well under pressure and committed to deliver under tight deadlines
Knowledge of financial markets and products
Qualitative or quantitative model risk management experience is a plus
Experienced user of Microsoft Office Suite, especially Excel, PowerPoint and Word
Knowledge of SAS or R language would be a plus
Solid knowledge of time series analysis, statistics and econometrics would be highly advantageous
Nice to have:
Qualitative or quantitative model risk management experience
Knowledge of SAS or R language
Solid knowledge of time series analysis, statistics and econometrics
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