Risk Model Monitoring Execution Analyst, Citi

Citi

Location:
India, Bengaluru

Category:
Finance

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The Model/Anlys/Valid Analyst I is 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.

Job Responsibility:

Generate production forecasts for economic scenarios
Produce additional on-demand runs to support analytical requests from peer groups and model sponsors
Implement new or enhanced model monitoring report in production environment
Continuously work to maintain and improve governance controls relates to implementation and production process
Generate standard reporting, comparison with previous results as well as drill down analytics for productions forecasts
Conduct QA/QC on all steps (e.g., macro-economy series, model output, etc.) required for production process
Deliver comprehensive write-up of production results and process as per internal and regulatory standards
Understand model variables and economic forecasts and conduct drill down analysis and reporting of model production forecasts
Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
Work closely with cross functional teams, including country/region’s business stakeholders and model analytics
Maintain and improve automation solutions for production process
Ensure timely completion of governance controls and production results under tight timelines
Develop and implement automated solutions for model monitoring and transformation using tools such as SAS, Excel, Python, Visualization Tool like Tableau
Collaborate with cross-functional teams (analytics) to understand model monitoring requirements and reengineer SAS code
Design and maintain Data Quality check to ensure accuracy, efficiency, and reliability of model monitoring data
Conduct data analysis to identify trends, patterns, and opportunities for optimization
Generate insights and actionable recommendations based on analytical findings to support strategic decision-making
Create visually compelling dashboards and presentations to communicate key insights to stakeholders
Continuously monitor and improve existing model monitoring processes to enhance efficiency and effectiveness
Obtain/implement model from model development to production environment, and obtain updated data from countries/regions and/or Risk Architecture to run primary & benchmark CCAR models
Document all production related activities around production/model implementation/performance tracking
Run quarterly model prediction performance back-testing and sensitivity analysis against accuracy and other required model performance triggers for production models
When performance shifts are observed, perform diagnostic analytics around drivers on the models
Document & review base and stress CCAR model performance with assigned countries & regions quarterly and assist countries and regions in their use of the CCAR/DFAST models in business activities such as loss forecasting/benchmarking their loss forecasts and assessing the risk of various lending segments (i.e., Risk Appetite)
Review model performance and drivers of any gaps or deterioration in model performance with MRM, IRMO, and regional and country risk managers
Perform full, formal annual model review to follow MRM’s guidance and standards

Requirements:

Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or related field
Proven experience in report automation, data transformation, and analytics
Proficiency in programming languages and tools such as SAS, Python, Excel, Power BI, or similar
Strong analytical skills with the ability to interpret complex data sets and draw meaningful conclusions
Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders
Detail-oriented with a focus on accuracy and quality of work
Ability to work independently and collaboratively in a fast-paced environment
Degree in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, or other highly technical quantitative discipline
0 to 2 years’ experience in developing or tracking quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk
Strong working knowledge in SAS Programming, ability to code from scratch, automate SAS processes etc.
Strong working knowledge in UNIX environment, working on FTP sessions (Putty/Tectia etc.)
Expertise in successfully executing either the model development or model performance tracking components of an analytical, econometric modeling-driven stress loss process
Expertise in running model implementation and model tracking processes across consumer products and/or business lines
Expertise in delivering technical presentations to countries, regions, internal modeling oversight functions, external regulators (e.g., FRB, OCC, FDIC), and internal audit functions
Strong capabilities in communicating technical information verbally and in writing to both technical and non-technical audiences
Tableau, Advanced Excel, VBA Automation programming is preferred
Proficient understanding of code versioning tools such as BitBucket, Job Scheduling in Autosys is considered a plus

Nice to have:

Tableau, Advanced Excel, VBA Automation programming
Proficient understanding of code versioning tools such as BitBucket, Job Scheduling in Autosys

Additional Information:

Job Posted:
April 26, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Risk Model Monitoring Execution Analyst