CCAR Model Development Analyst Job at Citi (Mumbai)

Risk Model Monitoring Execution Analyst

The role involves tracking, production, and implementation of CCAR/DFAST/ICAAP a...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

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

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

Fulltime

Risk Model Monitoring Execution Analyst

The Model/Anlys/Valid Analyst I is a trainee professional role. Requires a good ...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

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.

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

Fulltime

Non-Traded Models IVU-VP

Embark on a transformative journey as a Non-Traded Models IVU-VP at Barclays, wh...

Location

India , Noida; Mumbai

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Validate credit risk related regulatory (IRB, IFRS9, CCAR and Stress Testing) models for wholesale portfolios by following Bank’s policies and standards
Perform technical analysis and/or build alternative benchmarks to new and existing models, in line with the requirements set out in the bank’s standards and policies
Work as an Individual Contributor and also Mentor a team of 2-3 analysts
Review regulatory requirements to ensure compliance with different regulatory guidelines e.g. SR 11-7, PRA, FRB, SS-1/23
Support the development and review conformance with appropriate policies including Group Model Risk policy
Solid understanding of the quantitative techniques used in developing and validating models including credit risk related regulatory (IRB, IFRS9, CCAR, Stress-testing, PD, EAD, LGD) models for wholesale portfolios
Hands-on experience in the use of statistical packages such as Python, SAS, R
Expert user of Microsoft Excel and other Microsoft Office tools
An ability to identify and analyse appropriate external data sources including macro-economic variables for model development or validation along with excellent communication and stakeholder management skills

Job Responsibility

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
Assessment of any compensating controls used to mitigate Model risk
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

What we offer

modern workspaces
collaborative areas
state-of-the-art meeting rooms
wellness rooms
on-site cafeterias
fitness centers
tech-equipped workstations
flexible working arrangements
hybrid working

Fulltime

Risk Model Development Analyst II

Citi’s Risk Modeling Solutions department is responsible for the development, de...

Location

India , Bengaluru; Mumbai; Haryana

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2+ years of experience
Experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, or econometric modeling
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
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
Experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights
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

Job Responsibility

Participate in building champion/benchmark models for CCAR, CECL, IFRS9, climate risk, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios
Under manager's guidance, 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
Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances
Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents

Fulltime

New

Quantitative Model Validation Analyst – Credit Risk

This role will be part of a highly visible and dynamic quantitative risk functio...

Location

United States , Minneapolis; Charlotte

Salary:

105400.00 - 124000.00 USD / Year

U.S. Bank National Association

Expiration Date

March 17, 2026

Requirements

Bachelor’s degree in a quantitative field, and five or more years of relevant experience
MA/MS in a quantitative field, and three or more years of related experience
PhD in a quantitative field, and less than two years of related experience
Three plus years of large size commercial bank working experience in risk model validation
Advanced experience of financial statistical modeling methods (Hazard models, Regression models, Decision Tree models, Time Series, Machine Learning, etc.)
Related experience with Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for CCAR and CECL
Working experience in CCAR and CECL estimation for both retail and wholesale portfolios, including portfolio such as Residential Mortgage, Consumer Credit Cards/Lines, Wholesale C&I, Wholesale CRE, and Small Business
Familiar with the bank reporting and data system
Have advanced ability to deal with large data and complete model validation and implementation verification process
Ability to write and enhance automated testing programs for model performance assessment

Job Responsibility

Create, validate, test, document, implement and/or oversee usage of complex statistical models that are used as part of financial decision-making process
Deliverable to regulatory and senior management includes the creation of comprehensive written reports, modeling code, business requirements, monitoring reports and related code, and procedures
Work on a combination of Stress Testing (CCAR) and Credit Expected Credit Losses (CECL) estimations statistical models
Develop, validate risk forecasting models, probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Net Charge-off (NetCo), and Economic Factor Models
Emphasize complex statistical models under CCAR stress testing guidance and CECL ASU rule
Requires experience with development process, quarterly continuous monitoring process, inaugural validation process, and capital reconciliation process
Requires knowledge of the bank’s reporting data system to complete development/validation data compilation and implementation verification, and experience to manage and track recommendations
Responsible for ensuring models are consistent with the bank’s risk management policies, procedures, and practices by directly interacting with model owners, senior managers such as portfolio risk management, corporate finance, external reporting, audit services, and industry experts
Responsible for delivering and reviewing comprehensive written model technical documents to present outcomes to senior management of related department across the bank and regulatory agencies

What we offer

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Fulltime

!

Regulatory Model Monitoring Execution Intermediate Analyst

The Model Monitoring Intermediate Analyst is responsible for ongoing performance...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience in model monitoring, analytics, validation, or model risk management
Exposure to CCAR, CECL, and/or IFRS 9
Strong understanding of model life cycle, performance metrics, and model risk concepts
Experience interacting with Model Development, Analytics, and MRM teams
Proficiency in SAS and SQL
Strong communication, stakeholder management, and mentoring skills
Bachelor’s/University degree or equivalent experience

Job Responsibility

Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
Conducts statistical analysis for risk related projects and data modeling/validation
Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language
Prepares statistical and non-statistical data exploration, validate data, identify data quality issues
Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues
Analyzes and interprets data reports, make recommendations addressing business needs
Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results
Validates assumptions
escalate identified risks and sensitive areas in methodology and process

Fulltime

Regulatory Risk Model Development Analyst II

Citi’s Risk Modeling Solutions department is responsible for the development, de...

Location

India , Haryana, Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2+ 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

Job Responsibility

Participate in building champion/benchmark models for CCAR, CECL, IFRS9, and other regulatory/internal purposes for Citi's international and U.S. secured portfolios
Under manager's guidance, 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

Fulltime

Portfolio Credit Risk Management 2nd LOD Sr. Lead Analyst

Citibank, N.A. seeks a Portfolio Credit Risk Management 2nd LOD Sr. Lead Analyst...

Location

United States , Fort Lauderdale

Salary:

177200.00 - 179000.00 USD / Year

Citi

Expiration Date

April 01, 2026

Requirements

Bachelor’s degree, or foreign equivalent, in Finance, Economics, Statistics, Mathematics, Actuarial Science or related quantitative field
2 years of progressive, post-baccalaureate experience as a Corporate Audit Consultant, Credit Portfolio Manager, Market Risk Officer, Market Risk Measurement Consultant or related position involving credit risk management for a large financial institution
2 years of experience must include: Model development and documentation
Financial modeling
Consumer risk management, policy and procedures
and Capital requirements and regulations

Job Responsibility

Coordinate ongoing model performance monitoring and review the results and performance metrics
Prepare reports to senior management on model results, overlays, sensitivity analysis, and model performance monitoring reviews and contribute to informed decision on capital adequacy
Create and maintain automation tools for forecast and performance analysis of models
Analyze forecasted results and trend, and generate cycles and scenarios comparisons
Oversee Management Information System (MIS) generation and Ongoing Performance Assessment (OPA) highlighting the results to the first-line, in-business teams
Develop models used for Comprehensive Capital Analysis and Review (CCAR) and collaborate with front lines in root cause analysis for under or over predictions
Responsible for documentation, renewal, back-testing, monitoring and governance of global CCAR models
Analyze business outlook overlays and integrate quarterly capital analysis reviews
Implement model overlay policies and guidelines for CCAR processes
Participate in macro-variable (MEV) sensitivity analysis and Enterprise Climate Risk stress test processes for CCAR models to explain variables that impact on the forecasted losses

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

CCAR Model Development Analyst

Citi

Location:
India , Mumbai ▼
Gurgaon

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 22, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for CCAR Model Development Analyst

Risk Model Monitoring Execution Analyst

Risk Model Monitoring Execution Analyst

Non-Traded Models IVU-VP

Risk Model Development Analyst II

Quantitative Model Validation Analyst – Credit Risk

Regulatory Model Monitoring Execution Intermediate Analyst

Regulatory Risk Model Development Analyst II

Portfolio Credit Risk Management 2nd LOD Sr. Lead Analyst

CCAR Model Development Analyst

Citi

Location:India , Mumbai ▼Gurgaon

Category:Finance

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:March 22, 2025

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for CCAR Model Development Analyst

Risk Model Monitoring Execution Analyst

Risk Model Monitoring Execution Analyst

Non-Traded Models IVU-VP

Risk Model Development Analyst II

Quantitative Model Validation Analyst – Credit Risk

Regulatory Model Monitoring Execution Intermediate Analyst

Regulatory Risk Model Development Analyst II

Portfolio Credit Risk Management 2nd LOD Sr. Lead Analyst

Location:
India , Mumbai ▼
Gurgaon

Category:
Finance

Contract Type:
Not provided

Job Posted:
March 22, 2025