Avp- Risk Model Monitoring- C12

5 months ago

Bengaluru Karnataka, India Citi Full time

Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
- **_ Core Responsibilities:_**

This position within Global Consumer Banking will focus on model performance **Monitoring, Analytics & Insights** for Non-Regulatory Decision Models for Unsecured products (e.g., Credit Cards). The responsibility includes but not limited to the following activities:

- Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning.
- Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models. This would include performance assessment, drill down root cause analysis for performance deterioration, coming up with mitigation action providing rational for continued usage of the model without business impact.
- Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance; understanding the incremental benefit the models bring to Risk strategies.
- Explain model performance to second line (Model Risk Management) of defense providing rational of model performance deterioration (if any), explaining the applicability of the usage of the model.
- Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance.
- Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities.
- Perform analysis for benchmark models and other adhoc analysis as required by business/validation teams.
- Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers.
- Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting.
- Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents.
- Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances.
- Deliver end user computing process related mandates.
- Expected to manage own projects independently.
- Train and mentor junior team members on Model Monitoring, generating insights from different analysis required by business.
- Individual Contributor

**_ Education:_**

**_ Skillset_**
- Strong programming (SAS, R, Python, etc.) skills.
- Experience in reporting tools - Excel, Tableau, Cognos
- Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization.
- Understanding of relevant model metrics / KPIs & bring out insights on model performance tracking.
- Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences is a must.
- Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.
- Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus.

**_ Experience_**
- 7+ Years reporting & analytics experience.
- At least 5 years of extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights.
- Experience in automating reporting processes would be a plus.
- **Job Family Group**:
Risk Management
- **Job Family**:
Risk Analytics, Modeling, and Validation
- **Time Type**:
Full time
- Citi is an equal opportunity and affirmative action employer.

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.

View the "**EEO is the Law**" poster. View the **EEO is the Law Supplement**.

View the **EEO Policy Statement**.

View the **Pay Transparency Posting

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