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About the role
- Model Monitoring Analytics Analyst II responsible for model performance and analytics at Citi’s Risk Modeling Solutions department while focusing on non-regulatory decision models.
Responsibilities
- 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 adding business value.
- Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the health of the model.
- Partner with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies.
- Explain model performance to second line (Model Risk Management) of defense.
- 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.
- Perform analysis for benchmark models and other ad hoc 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.
Requirements
- Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc.
- MBA should apply only if they are interested in career in specialized quantitative risk management discipline.
- Strong programming (SAS, R, Python, etc.) skills.
- Experience in reporting tools - Excel, Tableau.
- 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.
- 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.
- 2+ Years reporting & analytics experience.
- Extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights.
- Experience in adoption of AI in bringing efficiency into core functional process, automating reports would be a plus.
Benefits
- Citi is an equal opportunity employer
- Qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
- If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
- View Citi’s EEO Policy Statement and the Know Your Rights poster.
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