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Risk Model Monitoring Execution Analyst

https://www.citi.com/ Logo

Citi

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Location:
India, Bengaluru

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Category:
-

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

The role involves tracking, production, and implementation of CCAR/DFAST/ICAAP and CECL stress loss models for Citi's product portfolios on a US & international basis. Key responsibilities include quarterly model performance tracking, back-testing, sensitivity analysis, and diagnostic analytics, as well as annual reviews and documentation of all model-related activities.

Job Responsibility:

  • 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:

  • 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
  • Candidates who have performed comparable functions to those listed above for significant, complex financial institutions at a consulting company, vendor, or service provider would be strongly considered as well
  • 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 25, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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