Vice President

Sumitomo Mitsui Banking Corporation•Jersey City, NJ

8d•$113,000 - $140,000•Hybrid

About The Position

SMBC Group is a top-tier global financial group with a 400-year history, headquartered in Tokyo. It offers diverse financial services including banking, leasing, securities, credit cards, and consumer finance, with over 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company, and SMFG's shares trade on the Tokyo, Nagoya, and New York stock exchanges. In the Americas, SMBC Group operates in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru, providing commercial and investment banking services to corporate, institutional, and municipal clients, leveraging its 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. The anticipated salary range for this role is between $113,000.00 and $140,000.00, with the specific salary determined by individual qualifications, experience, and market analysis. The role may also be eligible for an annual discretionary incentive award. SMBC offers a competitive portfolio of benefits to its employees.

Requirements

Master’s degree in enterprise risk management, finance, or a related field plus 1 year of experience.
Experience must include: operational risk frameworks such as internal loss data, external loss data, key risk indicators, risk and control self-assessments, control testing and risk appetite; risk modeling; scenario design and stress testing methodologies; U.S. regulatory standards such as Federal Reserve Bank, Office of the Comptroller of the Currency, and Dodd-Frank Act stress testing principles; quantitative, statistical, and machine learning techniques such as data automation; data analysis tools and programming languages such as Python, and SQL.
The required skills do not need to be maintained over the full term of required experience.

Responsibilities

Design, develop, and enhance the firm’s Operational Risk Scenario Design and Stress Testing framework, integrating multiple risk programs including Internal Loss Data, External Loss Data, Key Risk Indicators, Risk and Control Self Assessments, Control Testing, and Risk Appetite.
Lead the Scenario Design and Stress Testing program, including development of risk scenarios, calibration of models, and quantification of stress capital in line with regulatory expectations.
Conduct and facilitate Subject Matter Expert (SME) workshops, guiding participants through scenario development, risk assessment, estimation methodologies, and capital determination processes.
Build and continuously enhance risk models, processes, methodologies, policies and procedures to support operational risk measurement, capital adequacy, and regulatory submissions, particularly in preparation for the Comprehensive Capital Analysis and Review (CCAR) bank requirements.
Collaborate with stakeholders across front office, back office, and risk management teams to ensure accurate capture, validation, and analysis of operational risk exposures.
Develop and implement AI/ML-based predictive and analytical tools to automate and streamline data collection, risk analysis, and stress testing processes.
Ensure compliance with U.S. regulatory standards for operational risk (Federal Reserve Bank, Office of the Comptroller of the Currency, and Dodd-Frank Act stress testing principles) including governance, documentation, validation, and reporting requirements.
Manage and oversee the Operational Risk Appetite program, ensuring that risk tolerance metrics (measures and limits) are aligned with the firm’s strategic objectives and regulatory guidance.
Prepare senior management and board-level presentations, reports, and recommendations to communicate stress testing outcomes, risk appetite metrics, and capital implications.
Drive annual enhancements to operational risk programs, leveraging data insights and regulatory feedback to ensure the framework remains robust, scalable, and compliant.