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The Risk Analytics, Modeling and Validation role involves the validation of quantitative models such as those used to measure and analyze wholesale credit risk and climate risk, or other quantitative models. Individuals in this role will validate models such as those used to generate wholesale credit risk rating, used for portfolio management or other usages. They will conduct review and challenge on model data, model framework, model assumptions, model performance metrics and thresholds, model implementation, model ongoing monitoring plan, etc. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy.
Job Responsibility:
Perform model validations, annual model reviews, ongoing monitoring reviews and model limitation reviews
Provide effective challenge to the model development process in accordance with the Citi Model Risk Management (MRM) Policy
Conduct review and challenge on model data, model framework, model assumptions, model performance metrics and thresholds, model implementation, model ongoing monitoring plan, model limitation, etc., and document the validation process and results in validation reports
Evaluate testing approach and results for individual models in accordance with MRM Policy
Contribute to regulatory and internal audit related responses
Collaborate with other teams within Risk and Business to facilitate compliance with internal policies, procedures, and guidance and regulatory guidance
Assist with preparing the reports and other meeting materials to MRM senior management
Support the process of designing, developing, delivering, and maintaining best-in-class model validation process standards, guidance, practices, templates, and other documentation
Requirements:
0 to 8 years of experience or equivalent
Experience in quantitative finance, risk management, analytics, model development or model validation is preferred
Strong quantitative skills such as solid knowledge of, statistics, mathematics, econometrics, time series analysis, finance, accounting
Strong analytic, creative thinking, and problem-solving abilities
Proficiency in data analysis and interpretation
Excellent communication skills
Excellent writing skills on writing comprehensive technical model validation reports
Ability to work effectively in a team and independently
Strong project management and time management skills
Knowledge of financial markets and products
Programming skills in languages such as Python, R, SAS, MATLAB, VBA or other coding language as need
Ability to influence decisions and provide expert advice
Attention to detail and the ability to make informed judgments based on information
Nice to have:
FRM, CPA, CFA is a plus
Good knowledge on financial statement analysis, accounting is a plus
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