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Ccar Modeling Jobs (NOW HIRING)

HSSSoft

BA - Risk Analysts

New York, NY · On-site

Credit Risk, Basel II, III, RWA Calculations, CCAR (Comprehensive Capital Analysis & Review), CCAR Modeling, DFAST (Dodd Frank Act Stress Testing), Volker's Rule, Financial Regulatory Reporting; Risk ...

E*Pro, Inc.

CCAR Business Analyst

Santa Clara, CA

Experience in Statistical and Econometric Modeling: CCAR, BASEL, Credit Risk and Economic Modeling in Banks CCAR/DFAST Stress Testing: Model Development Credit Risk Modeling: Application/Behaviour ...

Citizens

Sr Data Scientist Treasury Modeling

Boston, MA

$124K - $165K/yr

This role develops, implements, and maintains ALM and CCAR/PPNR models. The position also provides guidance to functional leaders on model impacts and partners with Model Risk Management, Market Risk ...

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CCAR Modeling information

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How much do ccar modeling jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ccar modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What is CCAR modeling?

CCAR modeling refers to the development of quantitative models used for the Comprehensive Capital Analysis and Review (CCAR) process, which is mandated by the Federal Reserve for large U.S. banks. These models help financial institutions project their capital needs under various economic scenarios, ensuring they can withstand periods of financial stress. CCAR models often include credit risk, market risk, and operational risk components, and are critical for regulatory compliance and strategic capital planning. Modelers work closely with risk, finance, and regulatory teams to ensure accuracy and transparency. The CCAR process aims to promote financial stability and protect consumers by making sure banks maintain adequate capital buffers.

What are the key skills and qualifications needed to thrive as a CCAR modeler, and why are they important?

To thrive as a CCAR Modeler, you need strong quantitative skills, expertise in financial modeling, and a solid understanding of regulatory requirements, often supported by a degree in finance, mathematics, statistics, or related fields. Proficiency with statistical software such as SAS, R, Python, and familiarity with risk management systems and CCAR regulatory frameworks is typically required. Attention to detail, analytical thinking, and effective communication are critical soft skills for interpreting data and presenting findings to stakeholders. These skills ensure the accuracy and regulatory compliance of stress testing models, which are vital for a financial institution’s risk management and regulatory reporting.

What are some common challenges faced by professionals working in CCAR modeling, and how can they be addressed on the job?

Professionals in CCAR modeling often encounter challenges such as managing large and complex datasets, ensuring data quality, and staying compliant with evolving regulatory requirements. Communication across teams—particularly with risk, finance, and IT—is crucial for aligning assumptions and methodologies. Staying up to date with regulatory changes and enhancing technical skills in statistical programming and model validation can help overcome these obstacles, making the work both challenging and rewarding.

What is the difference between Ccar Modeling vs Ccar Analysis?

AspectCcar ModelingCcar Analysis
Primary FocusBuilding financial models to project credit risk and loan performanceInterpreting and evaluating credit models to assess risk and decision-making
Required SkillsFinancial modeling, data analysis, Excel, credit risk understandingData interpretation, risk assessment, reporting, financial knowledge
Work EnvironmentFinancial institutions, banks, credit agenciesCredit departments, risk management teams, financial consulting

While both roles involve credit risk and financial data, Ccar Modeling focuses on creating predictive models, whereas Ccar Analysis emphasizes evaluating and interpreting those models to inform credit decisions.

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CCAR Modeling jobs near you
Infographic showing various Ccar Modeling job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.

CCAR Data Engineer, Associate

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • On-site

Full-time

Posted 13 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
Role Description
SMBC is driving a major Digital Transformation initiative across its Americas Division, with a strong focus on modernizing technology platforms, enhancing data-driven decision-making, and supporting business growth. As part of this transformation, we are seeking a talented Data Engineer to join the Regulatory Reporting & CCAR Technology Team.
The Data Engineer will be responsible for developing scalable data platforms on Databricks that support end-to-end data sourcing, CCAR model execution, data adjustments, result overlays, and attestation workflows. This role requires strong expertise in Databricks, PySpark, Python, and AI/ML technologies to build robust, auditable, and regulatory-compliant solutions. The individual will collaborate closely with Finance, Risk, Data Management, and Model Development teams to deliver innovative data engineering solutions that enhance regulatory reporting processes and operational efficiency.
Key Responsibilities
  • Design, develop, and support scalable data pipelines using Databricks, PySpark, Python, SQL, and Delta Lake.
  • Build and maintain data sourcing and ingestion frameworks for CCAR, Stress Testing, and Regulatory Reporting.
  • Develop and support platforms for CCAR model execution, including PPNR, Balance Sheet, RWA, and other risk models.
  • Implement data quality controls, reconciliation processes, lineage tracking, and audit capabilities.
  • Develop solutions for data adjustments, management overlays, business overrides, and exception management workflows.
  • Build and enhance attestation, approval, and sign-off workflows for regulatory reporting governance.
  • Partner with Finance, Risk, and Regulatory Reporting stakeholders to deliver business-critical solutions.
  • Leverage AI/ML capabilities for data quality monitoring, anomaly detection, intelligent automation, and operational insights.
  • Support CI/CD, production releases, troubleshooting, performance tuning, and operational support activities.

Qualifications and Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
  • 7+ years of experience in Data Engineering, Data Platform Development, or Analytics Engineering.
    • Strong hands-on experience with: Azure Data Factory, Databricks, PySpark, Python, SQL, Delta Lake, GitHub and CI/CD
  • Experience building cloud-native and distributed data processing solutions.
  • Strong understanding of ETL/ELT architectures, data modeling, data governance, and data quality frameworks.
  • Knowledge of AI/ML concepts, machine learning lifecycle management, and model operationalization.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications
  • Experience supporting CCAR, FR Y-14 Regulatory Reporting, Stress Testing, Capital Planning, Risk Management, or Finance Technology initiatives.
  • Experience developing solutions for:
    • Data sourcing and reconciliation
    • Model execution platforms
    • Data adjustments and result overlays
    • Attestation and workflow management
  • Experience with MLflow, Databricks Workflows, Azure Data Factory, Azure SQL, Azure Functions, REST APIs, and Azure Cloud Services.
  • Experience migrating analytical models from R to Python and deploying AI/ML solutions into production.
  • Knowledge of model governance, model risk management, audit controls, and regulatory compliance requirements.
  • Experience working in highly regulated financial services environments with strong governance and audit requirements.

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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