Job Details

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 modernizing its Risk Technology landscape to support analytics, regulatory reporting, and enterprise stress testing. We are seeking a Risk Technology Director with strong platform engineering leadership, cloud-native architecture expertise, and the ability to deliver scalable, compliant, data-intensive systems. This leader will drive end-to-end modernization across stress testing, risk data pipelines, and regulatory reporting platforms.

The ideal candidate combines deep technical engineering experience with strong cross-functional influence, and thrives in environments requiring modern distributed systems, cloud integration, and rigorous data governance.

Role Objectives: Delivery

Platform & Delivery Leadership

• Lead the architecture, modernization, and delivery of cloud-native, microservices-based stress testing and risk data platforms.
• Oversee the execution of scalable data ingestion, transformation, and integration pipelines that support CCAR, FR Y-14A/Q/M, and internal stress testing needs.
• Drive platform reliability, performance optimization, and automation across containerized and distributed systems.
• Manage complex programs from discovery through implementation, ensuring clear ownership, delivery milestones, and cross-team alignment.

Regulatory & Risk Platform Enablement

• Partner with Model Risk, Finance, and Regulatory Reporting to operationalize risk methodologies, stress scenarios, and capital impact workflows.
• Ensure that platforms meet auditability, documentation, and regulatory compliance standards aligned with Federal Reserve expectations.
• Support the accurate and timely production of CCAR and FR Y-14 regulatory submissions through technology platforms that are secure, scalable, and well-governed.

Cross-Functional Collaboration

• Serve as the technology liaison across Data Engineering, Cloud Infrastructure, Information Security, and Application Development.
• Present platform capabilities, risks, and architecture decisions to senior management.
• Champion a culture of transparency, continuous improvement, and cross-organizational trust.

Innovation & Modern Engineering Practices

• Introduce improvements leveraging cloud services (Azure, AWS), Databricks/Spark, distributed computation, and modern data engineering frameworks.
• Drive adoption of AI/ML-enabled analytics to enhance automation, anomaly detection, and risk decisioning.
• Embed CI/CD, observability, and DevSecOps best practices into all platform components.

Qualifications and Skills

Technical Expertise

• 12+ years of experience delivering large-scale, data-intensive platforms within highly regulated industries (banking preferred but not required).
• Deep experience with cloud-native engineering (Azure strongly preferred; AWS or GCP acceptable).
• Advanced proficiency in Python and Java for distributed systems, APIs, and data pipelines.
• Hands-on experience with Spark, Databricks, Kafka, Kubernetes, CI/CD pipelines, and microservices architectures.
• Familiarity with stress testing frameworks (CCAR/DFAST), regulatory reporting processes, and risk analytics concepts (VaR, sVaR, credit risk indicators).
• Understanding of data governance, lineage, quality controls, and secure data-exchange practices.

Leadership & Interpersonal Skills

• Proven ability to lead engineering teams and influence cross-functional stakeholders.
• Experience presenting complex technical concepts to senior executives and regulators.
• Demonstrated ability to operate in environments with competing priorities and high accountability.

Preferred

• Experience with AI/ML model integration, GPU-based computation, or semantic search pipelines.
• Exposure to Databricks, Delta Lake, and distributed batch/streaming frameworks.

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 ...@smbcgroup.com.