AVP - Model Risk Management - Consumer Risk Team - Bank

Roles and Responsibility :

Description

The role is a member of the firm-wide model validation team of Consumer Risk team, within the Model Risk Management Group. The position is located in Mumbai. His/her primary role is to evaluate conceptual soundness and model performance of consumer scoring and risk segmentation models. The reviewer will adhere to the MRMs firm-wide policies and strategic requirements and direction

- This role extends across all Citi segments and legal entities, giving the successful applicant exposure to the Consumer Bank

Specifically The Role Entails

- Individual will be the subject matter expert responsible for evaluating conceptual soundness of scoring and risk segmentation models

- Model evaluation will be as per the requirements outlined in the MRM Policies and Guidance related to Consumer Risk models

- The evaluation also requires writing a comprehensive validation report based on his/her judgment of the evaluation results

- The individual is also expected to contribute in developing/enhancing MRM Policy and Guidance

- He/She will support MRM team leads for MRM purpose - be it policy related work or model evaluations

- He/She will be fully aware and be able to interpret the implication of policies and regulatory directives

Qualifications

- Masters or Doctoral degree with a specialization in Statistics, Mathematics, Finance or other quantitative discipline

- 1 to 4 years in relevant consumer finance or credit card industry experience to include loss forecasting/stress testing model development, maintenance, tracking and management

- Strong analytical skills in conducting sophisticate statistical analysis using bureau/vendor data, customer performance data and marketing data to solve business problems

- The ability to interpret and analyse large volumes of data, and at times complex information

- Excellent written and oral communication skills are a mandate. Ability to recognizing information and patterns in data that are not obvious, and focusing analytical efforts in pursuit of explanations, isolations of cause and effect

- Preferably, good programming skills in advanced SAS and SQL in mainframe, UNIX and PC environments would be an advantage

- Applicant with significant experience specifically in risk modelling using Logistic Regression and segmentation techniques will be preferred