Sumitomo Mitsui Banking Corporation – SMBC Group

Executive Director, Quantitative Analytics and Model Oversight

Sumitomo Mitsui Banking Corporation – SMBC Group

full-time

Posted on:

Origin:  • 🇺🇸 United States • Arizona, California

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Salary

💰 $223,000 - $255,000 per year

Job Level

Senior

About the role

  • Manage and lead end-to-end quarterly CECL allowance process and loss provision forecast, including communication to SMBC executives and Board of Directors
  • Design and conduct stress testing and scenario analysis to assess adverse economic impacts
  • Implement CCAR for MANUBANK in partnership with key stakeholders
  • Provide model oversight and analytics for all MANUBANK models, partnering with risk modeling and model validation teams
  • Ensure models align with corporate policies, are fit for use, adequately monitored, and findings are closed on time
  • Maintain expert-level knowledge of financial and regulatory landscapes and make adjustments as necessary
  • Work collaboratively with 1st and 3rd lines of defense and Non-Financial risk specialists
  • Represent MANUBANK’s interests with regional and global stakeholders, governance, internal auditors and regulators
  • Lead, mentor and develop a small team of analysts and uphold the Bank’s risk culture and Code of Conduct

Requirements

  • Bachelor's Degree in Finance, Economics, Business Administration, Scientific, Data Science or equivalent quantitatively-based field
  • Advanced degree or professional certification preferred
  • CFA or FRM certification a plus
  • 12+ years of experience, including substantial experience in credit risk management and credit forecasting activities and overall bank financial management
  • Significant period responsible for loan loss provision and allowances including CECL reserving
  • Experience managing the loss provision through economic stress and a rapid growth environment
  • Strong view on the macroeconomic environment and how it could potentially impact bank provisions
  • CCAR experience is a plus
  • Proficiency and exposure to risk modeling and data analysis, including credit risk models and forecasting models
  • Strong communication and presentation skills; ability to interface with senior management, CEO, Board of Directors, parent representatives, peers, auditors, and regulators
  • High attention to detail and strong organizational skills
  • Proven ability to recruit, build and develop a team
  • Hands-on professional manager, self-motivated, curious, and data-skilled
  • Strong and diverse knowledge across commercial and retail banking lending products, including scoring, machine learning and other risk dynamics