Model Monitoring and Business Analytics- Analyst I

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Job Overview

The Model/Anlys/Valid Analyst I s a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise and logical way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

• Responsibilities: Qualifications: Education:
  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
  • Assist in preparing business as usual and ad-hoc reports in accordance with the Risk Management Teams priorities and requirements, running integrity checks on the reports and checking key numbers from other independently created reports.
  • Supports project of constant improvement of risk analytics, modeling and validation systems and optimization of reports.
  • Understands database structures, key business categories, internal banking business processes, statistical/mathematics concepts.
  • Uses strong analytical and process management skills for quality control over produced data.
  • Partners with senior as well as junior staff to execute projects and reports as necessary.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Proficient in Microsoft Office with an emphasis on MS Excel
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Self-motivated and detail oriented
  • Bachelor’s/University degree or equivalent experience

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 adding business value. This would include performance assessment, drill down root cause analysis for performance deterioration, mitigation action providing rational for continued usage of the model as applicable.

• 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.

• Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business.

• Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, 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 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, generating insights from different analysis required by business.

• Individual Contributor

Education:

Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline.

Skillset

• Strong programming (SAS, SQL, Python, Tableau, 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.

• 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.

Qualification:

• 1+ years monitoring, reporting & analytics experience.

• 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.

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Job Family Group:

Risk Management

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Job Family:

Model Development and Analytics

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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