Credit Risk Model Developer - Indore | Zoek India | 0f2007
This Browser does not support all the features of .
For the best experience please use a Modern Browser.
Credit Risk Model Developer- Analyst II
Indore, Madhya Pradesh
AS PER THE INDUSTRY
Permanent (Full time)
This Position is within Global Consumer Risk Management of Citi for CCAR/CECL/Decision Scores model development for the Unsecured portfolios. (., credit cards, installment loans, ready credit etc.) The responsibility includes but not limited to the following activities Obtain and conduct QA/QC on all data required for CCAR/CECL/Decision Scores model development Develop segment and/or account level CCAR/CECL/Decision Scores models. Developing Underwriting, Line management, Account management, Collection and Recovery models. Executing the above models in compliance with GCCFRP and in accordance with the Model Development Procedures within Risk Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed. Perform all required tests (. sensitivity and back-testing). Deliver comprehensive model documentation and perform implementation tests Work closely with cross functional teams, including business stakeholders, model validation and governance teams, and model implementation team Work closely with policy managers in establishing the swap set analysis and PnL optimization using the models. Create story boards, presentations and project plans for discussions with senior management Support the regulatory submissions for Citi on CCAR/CECL and work on adhoc requests from Business and Independent Risk Prepare responses/presentations to regulatory agencies on all CCAR models built Train and mentor junior modeler in developing innovative models in compliance with policies and procedures Qualifications Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline 2 years experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses Experience with dynamics of unsecured products a strong plus Expected to work with moderate supervision and guidance Ability to work effectively in cross functional teams, including country/regions business stakeholders, model validation and governance teams, and model implementation team Exposure to various stress loss modeling approaches at the segment or account level preferred Able to communicate technical information verbally and in writing to both technical and non-technical audiences Technical Skills Strong technical skills in modeling procedures is required (regression, time series, decision tree, linear/nonlinear optimization etc.) Strong in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint Basic programming skills in Python or R is required Strong communication skills to present technical information verbally and in writing to both technical and non-technical audiences is required. On-the-job Python coding experience is preferred. Machine Learning knowledge is preferred Big Data concepts understanding is preferred