Citi Group Model/Analysis/Validation Officer 

United States, Texas, Irving 

234711192

Duties: Develop, enhance, and validate production tasks to gain efficiencies and validate the methods of measuring and analyzing risk for Post Implementation testing. Generate portfolio loss forecasts based on account level data, model specifications, macro-economic scenarios, and other assumptions of the models. Conduct analysis and package it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines, exceed industry standards and explain to stakeholders. Support stakeholder interaction during the model life cycle including model development, model monitoring, model validation, ongoing performance evaluation and annual model reviews. Support and enhance governance structure for model Post implementation testing and production. Generate production analytics to review and evaluate loss forecasts during production runs. Produce analytics and reporting used to manage risk for Citi's operations. Assist in the development of analytic engines for business product lines. Interpret results of financial analysis procedures and communicate it to diverse audiences. Assess and quantify model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls. Identify modeling opportunities that yield measurable business results. Represent the bank in interactions with regulatory agencies, as required. Assess and quantify model risk due to model or process limitations to inform stakeholders of their risk profile and development of compensating controls. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements: Bachelor’s degree, or foreign equivalent, in Statistical Modeling, Analytics, Engineering (any), Mathematics, or a related field, and six (6) years of experience in the job offered, or in a related occupation in the financial services and IT/Analytical Consulting industry. Six (6) years of experience must include: Extracting, loading, transforming, analyzing, and consuming data using data management platforms including SQL Server, DB2, Teradata, big data platforms, and AWS; Performing statistical, data and quantitative analysis for model development using business and social intelligence tools including Tableau, advance excel, VBA codes and SAS; Developing, standardizing, optimizing, and implementing codes in production environments using statistical computing languages including SAS, SQL, PYTHON, and PYSPARK and performing UAT, system and functional tests to ensure error - free implementation; Implementing SAS-based models in production using software including Putty and Tectia on Unix and Linux, to generate loss forecasts and utilizing Bitbucket tools to store, manage, and track code changes across different implementation cycles; Performing calibration analysis to assess model risk using SQL queries and SAS programing for models (for example CCAR/ CECL/Risk Models) closely regulated by regulatory bodies; and Documenting production processes, procedures, results, and constraints using MS Suite and presenting materials to diverse stakeholders, including regulators, auditors, sponsors, executives, and model developers. In the alternative, employer will accept a Master’s degree and four (4) years of experience. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID #24782607. EO Employer.

Wage Range: $130,200.00 to $172,900.00

Anticipated Posting Close Date:

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