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Tech Lead – Regulatory Reporting; Hybrid

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Sumitomo Mitsui Banking Corporation
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    IT Project Manager, IT Consultant, Data Analyst, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Tech Lead – Regulatory Reporting (Hybrid)

Role Description

SMBC is leading a Digital Transformation across its Americas Division, modernizing technology and adopting a data‑driven approach to support strategic growth. We are seeking a talented and motivated Risk Technology Director to lead strategic initiatives within the Risk Technology Group. This role is pivotal in overseeing regulatory stress testing platforms, ensuring compliance with Federal Reserve requirements, and driving innovation across risk systems.

The ideal candidate will possess deep technical expertise, strong leadership capabilities, and the ability to collaborate across functions.

Role Objectives:
Delivery
  • Lead the design, development, and execution of stress testing platform for CCAR and internal stress testing.
  • Coordinate cross‑functional teams to ensure timely and accurate submission of FR Y-14A/Q/M reports.
  • Develop and maintain documentation for stress testing methodologies and assumptions.
  • Ensure compliance with Federal Reserve regulations and internal risk management policies.
  • Present stress testing results and capital impact assessments to senior management and regulators.
  • Collaborate with cross‑functional teams to understand business requirements and translate them into technical specifications.
  • Stay current with emerging technologies and industry trends to drive continuous improvement.
  • Lead projects from discovery through implementation, ensuring responsibilities are clear and milestones are met.
  • Coordinate and manage senior meetings to present updates, emerging risks, and manage action items.
  • Demonstrate ability to master complex tasks with minimal supervision and communicate ideas effectively.
  • Apply strong analytical and critical thinking skills to conduct root cause analysis and provide viable solutions.
  • Analyze business processes and recommend improvements.
  • Conduct gap analysis and generate current and future state diagrams.
Role Objectives:
Interpersonal
  • Coordinate with data engineering, network architecture, application development, information security, and desktop support to present integrated solutions.
  • Extend and reinforce relationships within technology and across the organization.
  • Actively listen to issues across units and resolve problems and conflicts.
  • Participate in leadership meetings and use influencing skills to build consensus around new product development and risk management.
  • Balance needs and expectations of diverse stakeholders including business leads, clients, management, and regulators.
  • Promote a culture of transparency, accountability, and performance.
  • Articulate a clear vision for technology and oversee delivery against objectives to build credibility.
Role Objectives:
Expertise
  • Familiarity with Quantitative Modeling & Scenario Design.
  • Proficiency in Programming & Data Analysis Tools (Python, SAS, R, SQL).
  • Knowledge of Regulatory Frameworks (CCAR, DFAST, Basel III).
  • Expertise in Risk Management & Financial Analytics.
  • Experience with Data Governance & Reporting (FR Y-14A/Q/M).
  • Command of market trends, competitive positioning, and business opportunities.
  • Excellent communication and collaboration skills across all levels.
  • Leadership skills to motivate and align technology teams.
  • Ability to articulate vision and encourage stakeholder buy‑in.
  • Use external networks to benchmark and identify strategic opportunities.
Qualifications and Skills
  • 15 years of experience in financial risk management or regulatory reporting within a technology organization at large banks.
  • Bachelor’s or Master’s degree in Finance, Economics, Statistics, or related field.
  • Strong understanding of CCAR, DFAST, and Basel III frameworks.
  • Experience leading teams and managing multiple projects simultaneously.
  • Strong expertise in Python; experience with Azure cloud computing is a plus.
  • Exposure to Databricks and frontend JavaScript technologies.
  • Experience in AI/ML technologies is highly desirable.
  • Familiarity with risk metrics such as VaR, sVaR, stress testing, and credit risk indicators.
  • Experience with market data sources, financial instruments, and trading systems.
  • Knowledge of SQL, No

    SQL databases, and distributed computing frameworks.
  • Ability to manage multiple priorities independently in a demanding…
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