CCAR Technology Lead - Finance

Sumitomo Mitsui Banking Corporation•Charlotte, NC

6d•Hybrid

About The Position

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 OverviewWe are seeking a CCAR Technology Lead to drive the design and implementation of the bank’s Finance stress testing technology platform, supporting Model Execution (MEP), enterprise aggregation, and FR Y-14 regulatory reporting. This role will be responsible for the end-to-end technical architecture, platform engineering, and system integration across the CCAR finance ecosystem. The technology lead will partner closely with Finance, Risk, Treasury, and Regulatory Reporting teams to ensure scalable, controlled, and auditable delivery of stress testing capabilities. The successful candidate will combine strong engineering leadership with deep knowledge of stress testing data flows, regulatory reporting architecture, and large-scale financial platforms.

Requirements

10+ years of experience in financial technology platforms or regulatory reporting systems.
Strong understanding of CCAR / DFAST processes and FR Y-14 reporting requirements.
Experience designing large-scale financial data and analytics platforms.
Expertise in data engineering, distributed processing, and platform architecture.
Proven experience leading engineering teams delivering complex regulatory platforms.

Nice To Haves

Experience with Axiom ControllerView or similar regulatory reporting platforms.
Experience building model execution or analytics platforms for finance or risk models.
Familiarity with balance sheet forecasting, PPNR models, RWA calculations, and capital planning.
Experience with cloud data platforms such as Databricks or similar distributed processing frameworks.
Experience working in regulatory-driven technology programs.

Responsibilities

Define and implement the end-to-end CCAR technology architecture covering: Finance Model Execution Platform (MEP) Enterprise aggregation layer FR Y-14 regulatory reporting platforms
Design scalable solutions supporting scenario-based model execution, large data volumes, and regulatory timelines.
Establish architecture standards for data ingestion, processing, storage, and reporting layers.
Lead technical design and build of the Finance Model Execution Platform, enabling execution of: Balance sheet projection models PPNR models Capital and RWA projections Tax and capital action models
Implement scenario orchestration, model scheduling, and compute frameworks.
Ensure robust integration with scenario management and upstream data sources.
Design and implement the CCAR aggregation engine to consolidate outputs from finance and risk models.
Enable controlled processes for: model output consolidation adjustments and overlays reconciliation and validation
Ensure full data lineage, traceability, and auditability of aggregated results.
Lead technical integration between aggregation outputs and FR Y-14 regulatory reporting systems (e.g., Axiom).
Develop automated pipelines to populate Y-14 schedules and supporting datasets.
Implement reconciliation frameworks between model outputs, aggregation results, and regulatory reports.
Design and build data pipelines supporting ingestion of: Scenario inputs Historical data Model inputs Risk outputs
Ensure integration with enterprise data platforms and finance systems.
Optimize processing performance for large-scale stress testing runs.
Implement technical controls supporting: Data lineage and traceability Model execution audit trails Reconciliation and validation checkpoints
Ensure platform design meets regulatory expectations for CCAR governance and auditability.
Lead cross-functional engineering teams delivering CCAR technology components.
Provide technical guidance across data engineering, platform development, and reporting integration.
Partner with program management to ensure delivery against regulatory timelines.