Ccar model developer Job at Citi (Mumbai)

CCAR Model Developer

The Model/Anlys/Valid Intmd Anlyst is a developing professional role dealing wit...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-5 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
Good understanding of how the team and area integrate with others in accomplishing objectives
Applies analytical thinking and knowledge of data analysis tools and methodologies
Requires attention to detail when making judgments and recommendations
Applies professional judgment when interpreting data and results

Job Responsibility

Develops, enhances, and validates methods of measuring and analyzing risk for all risk types including market, credit and operational
May develop, validate and strategize uses of scoring models and scoring model related policies
Supports design, development, delivery and maintenance of best-in-class Risk programs, policies and practices
Reviews institutional or retail analytics and Models to ensure compliance with 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
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

Fulltime

VP- CCAR Model Developer

The FP&A Statistical Modeler Sr. Manager is a senior level position, part of FP&...

Location

India , Mumbai; Gurgaon

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-10 years of relevant statistical / business experience in financial services
Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration
Understanding of Machine learning algorithms will be a plus
Understanding of Consumer / Wholesale business to facilitate model convergence initiatives will be a plus
Hands-on experience in programming and modeling using SAS, Python and R is preferred
Follow a culture of accountability and strict quality control of the data integrity and modeling process
Ability to build key relationships with finance and business teams
Must be able to present technical matters in a way that is meaningful to the audience
Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Job Responsibility

Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes
Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance
Participate and contribute to FRB / OCC exams and present model specific information to seniors in a succinct manner
Development of Benchmark models using Industry data series to meet regulatory requirements
Drive model convergence initiatives as part of firm’s Transformation journey for different businesses
Explain quantitative model results to front-office / FP&A teams during quarterly model runs under different scenarios provided by Economic Scenario Group
Responsible for exploring application of alternate modeling techniques to facilitate model convergence efforts and presenting the same to senior model development leads
Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams
Responsible in managing complex conversations and to seek sign-offs on final selected models from key stakeholder such as Business heads, FP&A head, Treasury and Risk
Responsible for writing and submitting model development documentation and partner with Model Risk Management (MRM) to address their feedback

Fulltime

CCAR Model Development Analyst

The FP&A Statistical Modeler Analyst 2 is an intermediate level position, part o...

Location

India , Mumbai; Gurgaon

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

2-4 years of relevant statistical /business experience in financial services
Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration
Understanding of Machine learning algorithms will be a plus
Hands-on experience in programming and modeling using SAS, Python and R is preferred
Follow a culture of accountability and strict quality control of the data integrity and modeling process
Ability to build key relationships with finance and business teams
Must be able to present technical matters in a way that is meaningful to the audience
Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Job Responsibility

Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes
Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance
Development of Benchmark models using Industry data series to meet regulatory requirements
Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams
Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback
Contribute to stakeholder conversations with Businesses, Finance, Treasury and Risk to seek their sign-offs on Champion models

Fulltime

AVP- CCAR Model Development

The FP&A Statistical Modeler Senior Analyst is an intermediate level position, p...

Location

India , Gurgaon

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-8 years of relevant statistical /business experience in financial services
Strong understanding of statistical techniques such as Ordinary Least Square regression (OLS), Fixed-effect Panel Regression, Error Correction Models, Seemingly Unrelated regression and Cointegration
Understanding of Machine learning algorithms will be a plus
Hands-on experience in programming and modeling using SAS, Python and R is preferred
Follow a culture of accountability and strict quality control of the data integrity and modeling process
Ability to build key relationships with finance and business teams
Must be able to present technical matters in a way that is meaningful to the audience
Masters / PhD in quantitative discipline such as Statistics, Economics or related discipline

Job Responsibility

Development of econometric forecasting models for key Balance sheet and income statement line items for capital and business planning purposes
Developing Champion and Challenger models using different time series forecasting methodologies to comply with SR 15-18 guidance
Development of Benchmark models using Industry data series to meet regulatory requirements
Manage the model life-cycle from first-line of defense perspective and participate in Segmentation, Risk Identification, overlay discussions with Businesses and Finance teams
Responsible for understanding changes to quantitative requirements published by MRM in Model Testing Guidance and presenting the key changes to senior model development leads
Contribute to model convergence initiatives as part of firm’s Transformation journey for different businesses
Responsible to explain model results to front-office / FP&A teams during quarterly model runs under different scenarios provided by Economic Scenario Group
Responsible in seeking sign-offs on final selected models from key stakeholder such as Business heads, FP&A head, Treasury and Risk
Responsible for writing model development documentation and partner with Model Risk Management (MRM) to address their feedback

Fulltime

CCAR Quantitative Modeler – Unsecured Products

This position within US Personal Banking Risk will develop CCAR/CECL models for ...

Location

India , Gurgaon; Bengaluru; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
2-5 years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience with dynamics of unsecured or secured products a strong plus
Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
Exposure to various stress loss modeling approaches at the segment or account level preferred
Able to communicate technical information verbally and in writing to both technical and non-technical audiences
Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
Work as an individual contributor

Job Responsibility

Obtain and conduct QA/QC on all data required for CCAR/CECL model development
Develop segment and/or account level CCAR/CECL stress loss models
Perform all required tests (e.g. sensitivity and back-testing)
Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
Deliver comprehensive model documentation
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 models built

Fulltime

New

Quant Analytics Wholesale Credit Risk Modeller

Join us as a "Quant Analytics Wholesale Credit Risk Modeller" at Barclays Quanti...

Location

India , Mumbai

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on coding experience (as a full-stack developer / agile developer etc.)
Preferable language is Python, C/C++
Knowledge of Credit Risk (Pillar 1 - Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD))
Experience in IFRS9/CECL/ CCAR can also be considered
Experience in stress Testing/Scenarios Modelling
Experience in Model Development and/or Model Validation (core development experience)
Experience in Statistical Modelling (preferably for Wholesale credit book)

Job Responsibility

Design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions
Development of high performing, comprehensively documented analytics and modelling solutions
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment

What we offer

Wellness rooms
Gyms
Mental health support
Modern workspaces
Collaborative areas
State-of-the-art meeting rooms
On-site cafeterias
Fitness centers
Tech-equipped workstations

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

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

Ccar model developer

Citi

Location:
India , Mumbai

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 14, 2026

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Ccar model developer

Citi

Location:India , Mumbai

Category:Finance

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 14, 2026

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Location:
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Category:
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Contract Type:
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Job Posted:
February 14, 2026