Citi | Hiring | Risk Model Validation Analyst II | Mumbai | BigDataKB.com | 30 Sept 2022

The Model/Anlys/Valid Analyst II is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards.

Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Core Responsibilities:

• Validation of credit scorecard and segmentation models.

• Perform all required tests and measures of developed models (e.g., sensitivity, accuracy, volatility).

• Manage model risk across the model lifecycle including annual model review, ongoing model performance, model limitations.

• Deliver comprehensive model documentation (e.g., Model Development Documentation, Technical Review Documents) of ongoing and new projects.

• Regular interaction with Model Risk Management team and business owners during the model lifecycle.

• Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences.

Education:

• Advanced Degree (Masters or PhD preferred) in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, Quantitative Finance. MBAs should apply only if they are interested in career in specialized quantitative risk management discipline.

Skillset

• 2-5 years’ experience.

• Strong programming skills in SAS is necessary.

• Basic understanding of modeling processes (regression, time series, decision tree, linear/nonlinear optimization etc.) would be desirable.

• Knowledge of Python or R.

• Expected to work with moderate supervision and guidance.

• Work as an Individual Contributor.

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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