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Citibank, N.A. seeks a Model Validation 2nd LOD Sr. Analyst for its Irving, Texas location. Duties: Work on model validation projects with an emphasis on performance assessment, leveraging current techniques and model risk management requirements. Manage models through entire model life cycle and perform research on model management enhancement with regards to testing requirements. Assess model risk by reviewing model assumptions, examining model inputs, conducting data transformation, performing diagnosis testing, verifying statistical formulations, checking algorithms and programs, developing alternative models to perform statistical testing, and writing validation reports. Fit macroeconomic variables from the Federal Reserve in models in order to forecast balance or loss. Assess model concepts as well as performance of financial and risk management models under varied market and economic conditions, including extreme stress market conditions. Perform continuous research on sophisticated statistical methods and testing standards. Perform sensitivity tests and stress tests in order to meet or exceed Federal Reserve requirements. Work closely with model developers and model sponsors going through lifecycle, including monitoring, implementing and retiring models. Challenge model concept and model performance using limitations in order to motivate model sponsors and model developers to consider additional risk drivers. Work closely with model governance team as a technical support to facilitate management activities, including model inventory and limitation remediation. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.
Job Responsibility:
Work on model validation projects with an emphasis on performance assessment, leveraging current techniques and model risk management requirements
Manage models through entire model life cycle and perform research on model management enhancement with regards to testing requirements
Assess model risk by reviewing model assumptions, examining model inputs, conducting data transformation, performing diagnosis testing, verifying statistical formulations, checking algorithms and programs, developing alternative models to perform statistical testing, and writing validation reports
Fit macroeconomic variables from the Federal Reserve in models in order to forecast balance or loss
Assess model concepts as well as performance of financial and risk management models under varied market and economic conditions, including extreme stress market conditions
Perform continuous research on sophisticated statistical methods and testing standards
Perform sensitivity tests and stress tests in order to meet or exceed Federal Reserve requirements
Work closely with model developers and model sponsors going through lifecycle, including monitoring, implementing and retiring models
Challenge model concept and model performance using limitations in order to motivate model sponsors and model developers to consider additional risk drivers
Work closely with model governance team as a technical support to facilitate management activities, including model inventory and limitation remediation
Requirements:
Master's degree or foreign equivalent in Statistics, Engineering (any), Mathematics or related field and 3 years of experience as a Model Validation 2nd LOD Intermediate Analyst, Model/Analysis/Validation Senior Analyst, Data Scientist, Credit Risk Analyst or related position
Alternatively, employer will accept a Bachelor's degree in the stated fields and 5 years of the specified progressive, post-baccalaureate experience
Assessing model risk by reviewing model assumptions, examining model inputs, conducting data transformation, and performing diagnostic testing
Utilizing knowledge of mathematics and statistics to verify statistical formulations, check algorithms and programs, develop models to perform statistical testing and write validation reports
Utilizing knowledge of economics and financial theories to fit macroeconomic variables from the Federal Reserve into models
Comparing forecasted balance and loss under stressed macroeconomics scenarios with real value
Assessing impacts from changes in macroeconomic variables to dependent variables
Utilizing SAS (Statistical Analysis System) to test codes
Utilizing SAS to incorporate conceptual soundness and technical testing results in order to finalize model development decisions
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays