Manhattan, NY · Hybrid
$69K - $85K/yr
... CECL, and related loss estimation methodologies Experience in the credit risk identification ... Python, R, SQL, or Alteryx, and visualization tools such as PowerBI is a plus Effective ...
Manhattan, NY · Hybrid
$69K - $85K/yr
... CECL, and related loss estimation methodologies Experience in the credit risk identification ... Python, R, SQL, or Alteryx, and visualization tools such as PowerBI is a plus Effective ...
New York, NY · On-site
$142K - $213K/yr
... CECL); escalate systemic issues and create Data Concerns, identify root causes, and influence ... Coding / Advanced macros / SQL / Python a plus * A demonstrated history of delivering on ...
New York, NY · On-site
$142K - $213K/yr
... CECL); escalate systemic issues and create Data Concerns, identify root causes, and influence ... Coding / Advanced macros / SQL / Python a plus * A demonstrated history of delivering on ...
New York, NY · On-site
$113K - $149K/yr
Proficiency in one or more programming languages or analytical platforms, such as Python, SQL, SAS ... 2, Basel, CCAR, CECL/IFRS 9, and AI governance frameworks, is preferred. * Prior experience ...
New York, NY · On-site
$113K - $149K/yr
Proficiency in one or more programming languages or analytical platforms, such as Python, SQL, SAS ... 2, Basel, CCAR, CECL/IFRS 9, and AI governance frameworks, is preferred. * Prior experience ...
Manhattan, NY · On-site
$69K - $85K/yr
... CCAR, CECL, and related loss estimation methodologies • Experience in the credit risk ... Python, R, SQL, or Alteryx, and visualization tools such as PowerBI is a plus • Effective ...
Manhattan, NY · On-site
$69K - $85K/yr
... CCAR, CECL, and related loss estimation methodologies • Experience in the credit risk ... Python, R, SQL, or Alteryx, and visualization tools such as PowerBI is a plus • Effective ...
Build loss forecasting and CECL models. Reserve estimates that satisfy auditors and lenders without ... You write SQL and you're comfortable in Python or R. You've built models, not just reviewed them.
Build loss forecasting and CECL models. Reserve estimates that satisfy auditors and lenders without ... You write SQL and you're comfortable in Python or R. You've built models, not just reviewed them.
| Aspect | Cecl Python | Cecl Data Analyst |
|---|---|---|
| Required Credentials | Python programming skills, financial modeling knowledge | Data analysis skills, SQL, Excel, possibly some programming |
| Work Environment | Developing models, coding, testing in financial institutions | Data interpretation, reporting, supporting decision-making |
| Industry Usage | Used by quantitative teams, risk management, model development | Used by business analysts, risk teams, finance departments |
Cecl Python focuses on developing and implementing CECL models using Python programming, while Cecl Data Analysts primarily interpret data, prepare reports, and support model validation. Both roles are essential in financial institutions but differ in technical depth and daily tasks.
$69K - $85K/yr
Other
Posted 23 days ago
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.
The anticipated salary range for this role is between $69,000.00 and $85,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees.
SMBC is seeking a highly motivated and detail-oriented Associate / Analyst to join the stress testing function within the Credit Portfolio Risk team. This role will support CCAR, credit stress testing, and project management. The ideal candidate will combine analytical skills, knowledge of credit stress testing, and project management capabilities to drive initiatives and deliver high-quality results in a fast-paced environment.
Credit Stress Testing & CCAR:
Support the design, execution, and enhancement of credit stress testing frameworks, including scenario analysis and loss forecasting in alignment with CCAR requirements
Support CRE (Commercial Real Estate) bottom-up modeling, integrating results into broader portfolio analytics
Partner with Enterprise Risk, Finance, Model Developers, Credit Officers, and Business Units to design and drive internal stress testing exercises
Contribute to documentation and regulatory submissions with precision and clarity
Project Management:
Lead and coordinate credit stress testing projects, ensuring timely delivery of milestones and effective communication with stakeholders
Oversee project plans, track progress, identify risks, and implement mitigation strategies
Prepare and present project updates to senior management and cross-functional teams
Facilitate communication across stakeholders to ensure alignment and transparency
Ensure compliance with internal governance and regulatory expectations throughout the project lifecycle
Education:
Bachelor's degree in Finance, Economics, Statistics, or a related field. A Master's degree or relevant professional certifications (e.g., CFA, FRM, ESG) are a plus
Experience:
0-3 years of experience in financial institution
Basic knowledge of project management and credit risk concepts, with the ability to support cross-functional initiatives involving stress testing, CCAR, CECL, and related loss estimation methodologies
Experience in the credit risk identification process is a plus
Skills:
Proficiency in Excel and PowerPoint skills, with experience utilizing these tools to efficiently organize data, transform and analyze information, and create engaging presentations
Proficiency in data analysis tools such as SAS, Python, R, SQL, or Alteryx, and visualization tools such as PowerBI is a plus
Effective communication and interpersonal skills, with the ability to learn complex concepts and work collaboratively across teams
Ability to work in a fast-paced, collaborative environment and manage multiple priorities
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.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.
