Model​/Anlys​/Officer

Responsibilities

Develop, enhance, and validate risk measuring and analyzing models and related methods. Monitor model performance on a quarterly basis, and interpret and explain any large variations in quarter-over‑quarter model outputs. Review model limitations and assess their impacts on the model performance. Conduct annual review of the models and revalidate the Commercial Real Estate, Basel, and IFRS9 models. Develop and implement model and related tests that assess soundness of the modelling approaches, check appropriateness of the model assumptions, identify potential model weakness, and evaluate reasonableness of the model outcomes.

Automate the processes of data analysis, scenario analysis, and documentation of monitoring reports to enhance work efficiency and effectiveness. Support various tasks associated with regulatory and internal risk management requirements. Develop, maintain and enhance technical documentation including project plans, model descriptions, mathematical derivations, data analysis, and process and quality controls. Develop financial credit risk models for business usage and to fulfill regulatory requests.

A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

• Master’s degree (or foreign equivalent) in Statistics, Economics, Applied Economics, Mathematics, Finance, Engineering, or related field, and 3 years of experience as a Model/Analysis/Validation Senior Analyst, Graduate Assistant or related position involving risk model performance analysis, validation, and development; OR
• Bachelor’s degree in the stated fields and 5 years of progressive, post‑baccalaureate experience.
• Full span of experience must include:
  Using Python, R, SAS and SQL to write scripts for data collection and data analysis; development and application of statistical and econometric models, including panel and time series regression and related forecasting methods; conducting model testing and ongoing monitoring of reports; reviewing assumptions and assessing adequacy; assessing risks related to data issues and handling of large datasets; and addressing practical issues in finance, including derivative valuation and risk management using mathematical statistical techniques.

Wage Range: $126,500 to $180,218

Tampa, Florida, United States

Applicants submit resumes at  Please reference Job  #.

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