CrawlJobs Logo
Citi Logo Citi · Finance

CCAR Model Developer

India, Mumbai Employment contract · Job Posted November 26, 2025
Apply Position
Job Link Share

Job Description

The Model/Anlys/Valid Intmd Anlyst is a developing professional role dealing with most problems independently and having some latitude to solve complex problems. Integrates in-depth specialty area knowledge with solid understanding of industry standards and practices. Applies analytical thinking and knowledge of data analysis tools and methodologies with moderate but direct impact through close contact with the businesses' core activities.

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
  • Appropriately assess risk when business decisions are made

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
  • Developed communication and diplomacy skills
Citi - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

CCAR Model Developer

8 matching positions

New

Credit Risk Technology - Sr. Vice President

We are seeking a highly experienced and dynamic Senior Vice President to join ou...
Location
Location
United States , Rutherford
Salary
Salary:
163600.00 - 245400.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
June 23, 2026
Flip Icon
Requirements
Requirements
  • 10+ years of progressive experience in financial services, with a strong focus on risk management, credit risk, or capital markets
  • Minimum 5 years of experience in a Subject Matter Expert (SME) or similar role within a technology-driven environment
  • Proven track record in requirement gathering, business analysis, and solution design for complex financial applications
  • Deep understanding of financial products, risk methodologies (e.g., VaR, Stress Testing), regulatory frameworks (e.g., Basel, CCAR), and credit risk concepts
  • Familiarity with various risk models and their practical application
  • Experience with AI technologies such as Co-Pilot, Gemini etc
  • Strong data analysis skills with proficiency in SQL, Python, R, or similar tools for data manipulation and analysis
  • Exceptional analytical and problem-solving abilities
  • Excellent communication (written and verbal), presentation, and interpersonal skills
  • Strong leadership and mentoring capabilities
Job Responsibility
Job Responsibility
  • Lead and facilitate discussions with business users, risk managers, and other stakeholders to elicit, analyze, and document detailed business requirements for new features, enhancements, and strategic initiatives within the financial and credit risk technology landscape
  • Propose and design innovative technical solutions, actively participating in brainstorming sessions with cross-functional teams to translate complex business problems into clear, actionable technology solutions
  • Conduct in-depth data analysis to understand data sources, data flows, and data transformations. Define and document data lineage, ensuring data quality, integrity, and traceability across risk and capital systems
  • Work closely with software development teams throughout the entire software development lifecycle, providing subject matter expertise, clarifying requirements, and ensuring that technical solutions align with business objectives and architectural principles
  • Define test strategies, develop test plans, and perform rigorous functional and user acceptance testing (UAT) to validate that implemented solutions meet business requirements and are free of defects. Produce comprehensive test artifacts, including test cases, test results, and defect reports
  • Provide guidance, mentorship, and technical leadership to junior team members, fostering a culture of continuous learning, knowledge sharing, and professional growth within the team
  • Contribute to project planning, status reporting, and risk escalation processes. Identify potential roadblocks and proactively work to mitigate them, ensuring projects stay on track and within scope
  • Stay abreast of industry best practices, emerging technologies, and regulatory changes impacting financial and credit risk management, incorporating relevant insights into solution designs and recommendations
  • Effectively communicate complex technical and business concepts to diverse audiences, both technical and non-technical, fostering strong relationships with all stakeholders
What we offer
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
  • Fulltime
!
Read More
Arrow Right
New

Loss Forecasting and Stress Testing Analytics - Vice President

The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing t...
Location
Location
India , Mumbai, Maharashtra, India, Haryana
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years work experience in financial services, business analytics or management consulting
  • Understanding of risk management
  • Knowledge of credit card industry and key regulatory activities (CCAR) is a plus
  • Experience in CCAR / DFAST/Stress Testing is preferred
  • Strong understanding and hands-on experience with econometric and empirical forecasting models
  • Experience in data science / machine learning is preferred with ability to handle large datasets
  • Experience in using analytical packages like SAS, datacube/Essbase, MS Office (Excel, Powerpoint)
  • Vision and ability to provide innovative solutions to core business practices
  • Ability to develop partnerships across multiple business and functional areas
  • Strong written and oral communication skills
Job Responsibility
Job Responsibility
  • Work independently to effectively execute: Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more retail portfolios with primary focus on NA cards
  • Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
  • Cross-portfolio and cross-functional collaboration on loss / loan loss reserve forecasting and stress testing analytics
  • Assist in review and challenge of existing models, and model outputs to identify areas of improvement relative to portfolio & macro-economic trends
  • Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results besides understanding the synergies between two processes
  • Collaborate with other teams like Risk Modeling, Portfolio & New Account Forecasting, Data Reporting and Finance to complete requests on financial planning & CCAR/DFAST results and increased integration of credit risk & PPNR results
  • Perform complex risk policy analytics in terms of sizing the impact of credit/business/regulatory policies on loss performance and incorporate it into the stress testing process
  • Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on Portfolio Performance Losses, delinquency etc
  • Establish and continually evolve standardized business and submission documentation
  • Collaborate with Risk and Finance organization to understand sources of data and continue to improve the process of defining, extracting and utilizing data
  • Fulltime
Read More
Arrow Right
New

Financial Planning & Analysis, Vice President

The Financial Planning and Analysis Lead Analyst is a senior professional role r...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6-10 years of relevant experience
  • Proficient computer skills with a focus on Microsoft Office applications
  • Effective verbal and written communication skills
  • Demonstrated presentation skills
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Bachelor’s degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Create financial reports and meet with finance team to clearly summarize financial trends and provide insight to senior management
  • Advise on directional strategy and provide guidance on significant business/product decisions
  • Execute analysis of annual 3-year Strategic/Operating Plans, CCAR PPNR forecasts, mid-year reforecasts, and bi-monthly outlooks in partnership with segment, business, and country FP&A teams
  • Prepare analytics in support of CEO Reviews, including business initiatives
  • Execute analysis of product profitability and provide guidance on significant business and product decisions
  • Develop and maintain relationships with key partners and senior management to influence behavior and decision making
  • Prepare presentations and analysis for the team supporting the CFO
  • Has the ability to operate with a limited level of direct supervision
  • Can exercise independence of judgement and autonomy
  • Acts as SME to senior stakeholders and /or other team members
  • Fulltime
Read More
Arrow Right
New

Data Scientist Senior Consultant

We are currently seeking a Data Scientist Senior Consultant to join our team in ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
Read More
Arrow Right
New

Data Scientist

We are currently seeking a Data Scientist to join our team in Pune, Mahārāshtra ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Technical Proficiency: Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Soft Skills: Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
  • Fulltime
Read More
Arrow Right

Data Scientist

We are currently seeking a Data Scientist to join our team in Pune, Mahārāshtra ...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Technical Proficiency: Strong coding skills in languages like Python, and SQL
  • experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts
  • Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking
  • Soft Skills: Excellent technical writing and stakeholder communication
  • the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams
  • Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Job Responsibility
Job Responsibility
  • Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks
  • Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards)
  • Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates
  • Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations
  • Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
  • Fulltime
Read More
Arrow Right

Principal Data Genai Platform Engineer - Senior Vice President

Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
  • 8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
  • Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
  • Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
  • Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
  • Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
  • Strong experience with event-driven architectures and streaming platforms (Kafka)
  • Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
  • Exceptional leadership, communication, stakeholder management, and decision-making capabilities
  • Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems
Job Responsibility
Job Responsibility
  • Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
  • Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
  • Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
  • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
  • Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
  • Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
  • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
  • Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
  • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
  • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations
  • Fulltime
Read More
Arrow Right

Model/Analysis/Validation Officer

Build market risk models for the purpose of regulatory capital calculation and s...
Location
Location
United States , Tampa
Salary
Salary:
134000.00 - 180218.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
June 17, 2026
Flip Icon
Requirements
Requirements
  • Requires a Master’s degree, or foreign equivalent, in Financial Mathematics, Mathematics, Statistics, or related field and 4 years of experience as a Model/Analysis/Validation Officer, Model/Analysis/Validation Senior Analyst, Model/Analysis/Validation Intermediate Analyst or related position developing tools for measuring financial models to ensure the reliability, accuracy, and stability of quantitative models used in risk management. Alternatively, employer will accept a Bachelor’s degree in the stated fields and 6 years of progressively responsible, post-baccalaureate experience in the stated positions. Full span of experience must include: Supporting market risk analytics projects in FRTB, CCAR, and ICAAP
  • Developing market risk models for quantifying market risk exposure for trading books and for calculating regulatory capital
  • Implementing new models, resolve production issues and enhance existing implementation
  • Calibrating model parameters, performing variance analysis
  • Perform ongoing analysis of models, including backtesting and profit attribution analysis (PAA)
  • Engaging market risk managers
  • Developing and maintaining technical documentation
  • and Utilizing quantitative methodologies including linear and non-linear regression, Monte Carlo Simulation, Numerical analysis method, Scenario Analysis and stress testing frameworks.
Job Responsibility
Job Responsibility
  • Build market risk models for the purpose of regulatory capital calculation and stressing testing in order to ensure compliance with global regulatory frameworks while providing critical insights into the firm's exposure to market fluctuations
  • Conduct model changes and address model limitations to improve the model performance in response of regulatory requirement or Front office request
  • Develop and implement market risk model methodologies, algorithms, and diagnostic tools, integrating quantitative risk measuring work (including backtesting, sensitivity analysis, assumption analysis, data quality, model reliability, stability, and stress testing) to ensure model robustness, performance, and to assess and monitor model limitations
  • Work with market risk management systems, data flow, data definition and data requirements for various trading products, and conduct multiple analyses to meet risk managers and business needs
  • Collaborate with various working groups, senior model developers, risk managers, business clients, model validators, Risk IT, internal and external auditors, and regulators to assist with Model Risk Management and fulfill internal risk management requirements
  • Conduct on-going model performance analysis to discover, understand and quantify model limitations, providing comprehensive interpretations, explanations, and conclusions for resolving model issues
  • Work within Windows and Linux as programming environment and use Python, R, and SQL
  • Develop, maintain and enhance technical documentation including project plans, model description, mathematical derivations, data analysis, process and quality controls.
What we offer
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
  • Fulltime
Read More
Arrow Right