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Risk Model Development Intermediate Analyst

https://www.citi.com/ Logo

Citi

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Location:
India , Haryana, India, Bengaluru, Karnataka

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Model/Anlys/Valid Intmd Anlyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

Job Responsibility:

  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
  • Supports the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management
  • Reviews institutional or retail analytics and Models and other documents to ensure compliance with various regulatory and legal requirements
  • Identifies potential risks and escalates for further review
  • Handles preliminary investigations, assists with reconciliation procedures and prepares routine correspondence
  • Creates and maintains reports for control, tracking, and analysis purposes and ensures appropriate and secure retention of documents
  • Works with more senior staff in investigating and responding to customer and operational complaints
  • Interacts and works with other areas within Risk Management, 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
  • Participate in building champion/benchmark models for CCAR, CECL, IFRS9, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios
  • Perform data cleansing and analysis, identify static and dynamic portfolio drivers and macroeconomic drivers for portfolio risk performances, build PD/EAD/LGD models and conducting statistical analysis and backtests, perform forecast sensitivity analysis and model robustness tests, and provide model implementation and validation support
  • Create Model Development Document for validation and supporting Annual Model Reviews and Ongoing Performance Assessment of implemented models
  • Participate in model revalidation, model change and related documentation and validation support efforts
  • Ensure timely completion of assigned projects with high quality
  • Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
  • Prepare responses/presentations to regulatory agencies on all CCAR/CECL/IFRS9/Climate models built

Requirements:

  • 5+ years experience
  • 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
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
  • Bachelor’s/University degree or equivalent experience
  • 5+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling and in-depth knowledge on the use of statistical models to solve business problems
  • Experience of end-to-end credit risk modeling highly preferred
  • Experience of CCAR and CECL preferred
  • Strong programming (SAS, SQL, Python, R, etc.) and quantitative analytics (regression, time series, decision tree, linear/nonlinear optimization etc.) skills preferred
  • Strong communication skills required to translate model design, specification and performance details to technical and non-technical audiences
  • Master’s/University degree or equivalent experience in Economics, Mathematics, Statistics, Finance of other quantitative discipline
  • PhD degree in Statistics, Economics, Finance, Biomedical Engineering or other quantitative discipline preferred

Additional Information:

Job Posted:
May 05, 2026

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

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