Business Model Validation and Implementation Analyst II Job at Citi (Bengaluru)

Credit Portfolio Analyst II

The Credit Portfolio Analyst II is responsible for the end-to-end management and...

Location

India , Mumbai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s degree in information technology, Business, Risk Management, or a related field
2+ years of experience in risk management, technology operations, or production monitoring in corporate banking/financial institutions
knowledge of corporate finance, financial modeling, credit and banking products, credit analytics, risk assessment, and transaction execution
basic understanding of credit risk management, technology platforms, and operational risk controls, particularly in the context of post-implementation processes
familiarity with modern monitoring tools, risk management frameworks, and production systems used to assess technology performance in real-time (SAS/Tableau/AI/Oracle) supported by relevant programming skills
statistical knowledge – familiar with key statistical metrics/concepts
knowledge of regulatory requirements related to credit risk, data management, and customer-facing platforms, ensuring alignment with post-implementation and monitoring processes
strong strategic thinker with the ability to anticipate production challenges and operational risks in post-implementation environments, developing robust solutions that enhance system performance
experience in problem-solving complex operational issues, leveraging cross-functional expertise, and driving long-term improvements in production systems
strong analytical skills in conducting analysis using bureau/application/customer data to identify anomalies and adverse trends

Job Responsibility

Perform the validation of all customer-facing credit risk platforms post-deployment, ensuring that they function as intended, align with business strategies, and meet regulatory requirements
development and execution of post-implementation validation frameworks, focusing on model performance, rule accuracy, and platform effectiveness across all credit risk decisioning systems
partner with risk management, IT, and operations teams to assess potential vulnerabilities, gaps, or deficiencies in system performance and address them promptly
support to establish a robust framework for ongoing production monitoring of credit risk platforms, ensuring proactive identification and resolution of system performance issues
implement real-time and batch monitoring processes that assess credit risk platforms’ operational performance, data integrity, and customer impact across various product lines
ensure timely resolution of production issues, including the identification of root causes, formulation of solutions, and collaboration with technology teams to implement necessary fixes or enhancements
ensure all customer-facing credit risk platforms perform reliably in production, minimizing any negative impact on the customer experience due to system errors, downtimes, or performance issues
support initiatives to continuously improve platform stability, reducing risk to customers and ensuring the organization’s credit risk models and rules are consistently delivering accurate decisions
engage with business stakeholders to understand customer needs and expectations, ensuring production systems evolve to meet them efficiently and effectively
ensure all post-implementation validation and production monitoring activities meet regulatory and compliance requirements, including alignment with policies related to credit risk, data usage, and customer protection

What we offer

Equal opportunity employment
support for people with disabilities
best-in-class benefits for employees to be well, live well and save well

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

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