Risk Model Development Intermediate Analyst Job at Citi (Haryana, India, Bengaluru, Karnataka)

Risk Model Development- Intermediate Analyst

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

Location

India , Mumbai; Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

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 (years of experience in Master or PhD programs of Statistics, Economics, Finance, Biomedical Engineering or other highly quantitative discipline counts).
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 and other regulatory/internal purposes for Citi's U.S. secured portfolios.
Independently 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 with minimal manager support.
Create and review 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
Effectively communicate model results to both technical and non-technical senior audience.
Present model results with over-sight for approvals
Good understanding of regulatory requirements

Fulltime

Regulatory Risk Model Development Intermediate Analyst

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

Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
4+ 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 business stakeholders, model validation and governance teams, and model implementation team
Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Fulltime

Risk Decision Model Development Intermediate Analyst

This position is with US Consumer Cards (USCC) Risk Modeling Solutions (RMS). Th...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4+ years of hands‑on experience in Risk Modeling
Strong foundation in statistical modeling, econometrics, Machine Learning, numerical methods, and industry best practices for model development and validation
Proven experience developing or supporting risk models
Proficiency in analytical and data manipulation tools such as Python, SAS, SQL, R, and Spark
experience working in Big Data environments is highly desirable
Strong working knowledge of the MS Office suite, especially Excel and PowerPoint
Excellent written and verbal communication skills
Highly self‑motivated, detail‑oriented, and able to work independently while collaborating effectively with cross‑functional teams
Demonstrated intellectual curiosity and commitment to continuous learning
Bachelor’s/ University degree in quantitative discipline (STEM: Science, Technology, Engineering, Mathematics or Statistics, Economics, Data Science). Master’s/PhD degree is a plus

Job Responsibility

Build Risk Decision Models using Machine Learning, advanced statistical methods, and numerical algorithms
Develop, validate, and enhance models that support risk strategies
Leverage tools such as Python, SAS, PySpark, and other analytical platforms to extract, clean, and transform data
Engage with both traditional and alternate data sources, performing data preparation, feature engineering, and variable selection
Own the complete model development lifecycle including: Problem definition & model design, Data preparation, Model training, testing, and tuning, Out‑of‑sample and time‑based validation, Comprehensive documentation, Stakeholder presentations and model governance interactions, Implementation support with Technology teams
Partner with Technology, Risk Policy, Governance, and Product teams to ensure seamless execution and timely delivery
Communicate complex analytical concepts clearly to both technical and non‑technical audiences

Fulltime

Risk Decision Model Development Intermediate Analyst

This position is with US Consumer Cards (USCC) Risk Modeling Solutions (RMS). Th...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4+ years of hands‑on experience in Risk Modeling
Strong foundation in statistical modeling, econometrics, Machine Learning, numerical methods, and industry best practices for model development and validation
Proven experience developing or supporting risk models
Proficiency in analytical and data manipulation tools such as Python, SAS, SQL, R, and Spark
experience working in Big Data environments is highly desirable
Strong working knowledge of the MS Office suite, especially Excel and PowerPoint
Excellent written and verbal communication skills
Highly self‑motivated, detail‑oriented, and able to work independently while collaborating effectively with cross‑functional teams
Demonstrated intellectual curiosity and commitment to continuous learning
Bachelor’s/ University degree in quantitative discipline (STEM: Science, Technology, Engineering, Mathematics or Statistics, Economics, Data Science). Master’s/PhD degree is a plus

Job Responsibility

Build Risk Decision Models using Machine Learning, advanced statistical methods, and numerical algorithms
Develop, validate, and enhance models that support risk strategies
Leverage tools such as Python, SAS, PySpark, and other analytical platforms to extract, clean, and transform data
Engage with both traditional and alternate data sources, performing data preparation, feature engineering, and variable selection
Own the complete model development lifecycle including: Problem definition & model design, Data preparation, Model training, testing, and tuning, Out‑of‑sample and time‑based validation, Comprehensive documentation, Stakeholder presentations and model governance interactions, Implementation support with Technology teams
Partner with Technology, Risk Policy, Governance, and Product teams to ensure seamless execution and timely delivery
Communicate complex analytical concepts clearly to both technical and non‑technical audiences

Fulltime

Credit Risk Model Monitoring Analytics Intermediate Analyst

This position within Global Consumer Banking will focus on model performance Mon...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc.
5+ Years reporting & analytics experience
Strong programming (SAS, SQL, Python, Tableau, etc.) skills
Experience in reporting tools - Excel, Tableau
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
Understanding of relevant model metrics / KPIs & bring out insights on model performance tracking
Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences is a must
Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc.
Extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights

Job Responsibility

Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning
Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models adding business value
Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance
Partnering with Risk Policy leads to help understanding the levers / cut off adjustments required in scores baked in Risk strategies to bring in incremental benefit / loss mitigation to business
Explain model performance to second line (Model Risk Management) of defense providing rational for model performance deterioration, explaining the applicability of the usage of the model
Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance
Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities
Perform analysis for benchmark models and other ad hoc analysis as required by business/validation teams
Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers
Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting

Fulltime

Regulatory Model Monitoring Analytics Intermediate Analyst

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

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced degree preferred (Master’s required, PhD preferred) in Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, Finance (MBA), or another highly quantitative discipline
Strong programming skills in SAS, SQL, Python
experience with Tableau/Excel for performance reporting
Understanding of modeling techniques such as linear/logistic regression, machine learning techniques, segmentation, decision trees, survival models, time series analysis, etc.
Experience in applying analytical and statistical methods to explain performance variation and derive actionable insights
Excellent written and verbal communication skills, with the ability to simplify complex topics for senior audiences
Extensive experience in model monitoring, development or validation for loss‑forecasting models (CCAR/CECL)
Experience in developing optimal or automated reporting solutions using SAS, Python, SQL, Excel VBA, Tableau and GenAI tools
5+ years of experience in model monitoring, model development or validation, quantitative analytics, or related risk disciplines

Job Responsibility

Analyze and generate insights for Regulatory Risk Models (CCAR/DFAST/CECL/IFRS9 stress‑loss models), including performance assessment, root‑cause analysis for deterioration, recommended mitigation actions, and rationale for continued model usage
Quantify and articulate the business impact of model performance trends—translating changes in model accuracy into impacts on loss forecasts, capital, and reserves
Communicate results to diverse audiences
Explain the model performance trends to Model Risk Management (MRM), including rationale for deterioration if observed
Prepare and deliver comprehensive write-ups for Ongoing Monitoring Reports and Annual Model Review documentation
Work effectively across cross‑functional teams—including Model Development, Implementation, Sponsors/Policy, Validation, and Governance
Support internal & external audits, and regulatory reviews by responding to model performance related inquiries
Conduct robust QC on model inputs, outputs, and monitoring datasets to maintain accuracy and reliability
Leverage Gen AI to establish consistent and scalable processes, driving automation and simplification initiatives
Work as an individual contributor in model monitoring techniques, analytical deep dives, and AI‑enabled insight generation

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

Model Validation 2nd Line of Defense Intermediate Analyst, Officer

Whether you’re at the start of your career or looking to discover your next adve...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced degree (Master's and above) is required in the fields of mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc.
4+ years' analytics experience in financial services or related industries with minimum 3 years in Artificial Intelligence (AI) / Generative AI / Machine Learning (ML) area
In-depth technical knowledge of common AI/ML techniques
Clear and concise written and oral communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Strong stake-holder management skills

Job Responsibility

Perform independent review and conduct effective challenge across the lifecycle of Artificial Intelligence (AI) / Machine Learning (ML) non-model objects
Ensure adherence to applicable policies, procedure, templates, and testing guidance to manage the risk of all aspects of the AI/ML non-model objects
Drive constructive engagements with key stakeholders such as AI/ML Sponsors / Developers, MRM Governance, AI-CoE, Internal Audit, and regulators regarding AI/ML related matters
Support in satisfying the requirements for all internal / external regulatory exams
Develop, enhance, and validate the methods of measuring and analyzing risk, for all risk types including market, credit and operational
Support the design, development, delivery and maintenance of best-in-class Risk programs, policies and practices for Risk Management
Contribute to strategic, cross-functional initiatives within the model risk management organization
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Access to telehealth options, health advocates, confidential counseling and more
Expanded Paid Parental Leave Policy
Access to an array of learning and development resources
Generous paid time off packages
Resources and tools to volunteer in the communities in which they live and work

Fulltime

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Risk Model Development Intermediate Analyst

Job Description

Job Responsibility

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