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.
Key ResponsibilitiesDefine 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.
- Model Execution Platform (MEP)
- 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.
- Aggregation Platform
- 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.
- Regulatory Reporting Integration
- 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.
- Data Engineering and Integration
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.
- Controls and Governance
- 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.
- Engineering Leadership
- 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.
Required Qualifications- 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.
- Preferred Qualifications
- 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.
- Key Success Metrics
- Successful implementation of MEP, aggregation, and regulatory reporting technology platforms.
- Scalable platform supporting stress testing model execution and aggregation workloads.
- Strong data lineage, auditability, and reconciliation controls across systems.
- Timely delivery aligned with CCAR regulatory timelines.
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.
