Citi Group Markets Business Controls Technology 

United Kingdom, Northern Ireland, Belfast 

633546157

Duties: Responsible for development of the unexpected credit loss models, risk-weighted asset calculation used in determining the capital requirement or capital adequacy ratio for Citi's entire retail credit. Conduct model development and validation testing techniques covering risk models, including but not limited to linear regression models, logistic regression, generalized additive models, decision and regression trees, information gain and related segmentation statistical tools. Document, and ensure communication of key risks. Develop advanced retail Basel risk parameter models (PD, LGD, EAD) as well as segmentation models. Develop methodologies, algorithms and diagnostic tools for testing model robustness, stability and performance. Perform reliability analysis and quality control of modeling data and model results. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.

Requirements: Master’s degree, or foreign equivalent, in Finance, Mathematics, or a related field, and three (3) years of experience in the job offered, or in a related occupation in the financial services industry. Three (3) years of experience must include: Developing methodologies, algorithms and diagnostic tools for testing model robustness, stability and performance utilizing modeling techniques including ‘Statistical’ and ‘Machine Learning’ techniques and statistical/modeling programs; Performing statistical analysis, modeling techniques, and numerical implementations using Python, R, Java, SAS, and Oracle SQL; Performing risk management, model analysis and delivering on all phases of model development, from design through training, testing, validation, and implementation; and maintaining and developing technical documentation for models, model validation, project plans and processes using validation testing techniques covering risk models, including linear regression models, logistic regression, generalized additive models, decision and regression trees, information gain and related segmentation statistical tools. 40 hrs./wk. Applicants submit resumes at . Please reference Job ID #25821682. EO Employer.

Wage Range: $138,100.00 to $160,000.00

Anticipated Posting Close Date: