CCAR Data Engineer, Associate
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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.
- 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.
Nice to have
- Experience supporting CCAR, FR Y-14 Regulatory Reporting, Stress Testing, Capital Planning, Risk Management, or Finance Technology initiatives.
- Experience developing solutions for:
- 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.
Full 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.