Senior CECL Analyst

Job Summary

The Senior Current Expected Credit Loss (CECL) Analyst position is a key member of the ACL Modeling Team and supports the Financial Accounting & Reporting Manager in meeting the objectives and goals of the Finance & Accounting Department. The Senior CECL Analyst will be responsible for the estimation and analytics of Allowance for Credit Losses (ACL) under CECL allowance methodology. 

Essential Duties

• Manage the development and maintenance of the CECL Model and all related calculations and reports; identify and resolve any model or data discrepancies. 
• Calculate, analyze, and communicate modeling behaviors and parameters (including Probability of Default, Loss Given Default, Discounted Cash Flow, and Migration Analysis) and how these translate into loss estimates.
• Serve as an active member of the ACL Council by providing process improvement ideas, issue identification and resolution.
• Responsible for the quarterly analysis of ACL methodology and compiling the associated reporting packages, which includes the ACL packet for the quarterly ACL Committee meeting, Board Meeting, and documentation for the Annual Methodology Review. 
• Identify and address potential process gaps or process improvements including: data model requirement, structure and use, policy governance and other quantitative tools. Effectively challenge the model’s conceptual soundness, assumptions, and appropriateness of model methodology.
• Review and maintain relevant policy and procedures.
• Establish and maintain relationships with regulatory bodies, external/internal auditors, Model Risk Management (MRM) and other key stakeholders. 
• Prepare timely & accurate completion of schedules and information requests in connection with financial, operational and regulatory audits.
• Work with MRM to ensure models are appropriately assessed risk.
• Design and implement internal test controls and documentation regarding ACL model.
• Prepare loans or ACL related schedules for the quarterly Call Report.
• Prepare the Bank’s annual financial disclosures related to loans and ACL.
• Mentor ACL Modeling Team members by continuously improving the CECL/ACL modeling
• Identify and implement various process improvement projects in accounting operations to support the Bank’s growth.

Complies with all State and Federal Banking regulatory requirements, including but not limited to: BSA, Anti-Money Laundering, OFAC, CIP, Financial Elder Abuse Reporting, Sexual Harassment, Information Security and privacy requirements. This position will elevate suspicious activity to supervisory staff and/or BSA department. Completes compliance and other technical training workshops as assigned.

Education and Experience

• Bachelor’s degree in the field of Accounting, Finance, Risk Management or equivalent 
• 7+ years of experience in accounting, financial analysis, lending or statistical modeling experience
• 3+ years of experience with CECL/ACL in banking or financial institution industry

• Public accounting experience or public company accounting experience preferred but not required 
• Experience in JHA Silverlake
• Proficient in the Bank’s ACL application, Sageworks
• Experience with report writing applications, such as Cognos and Sageworks
• High proficiency level in MS Office including: Excel skills, including pivot-tables, worksheet formulas, macros, array formulas, and other techniques

Required Knowledge

• Working knowledge of US GAAP and concepts, specific to Loan Accounting & ACL/CECL 
• Demonstrated understanding of databases with the ability to understand and manipulate large amounts of data.
• Hands on experience in developing statistical models and experience using Python and SQL is a plus
• Strong organizational skills with the ability to interact with senior leadership across all areas of the Bank to professionally deliver clear and concise analysis.
• Comprehensive practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies. 
• Strong understanding of credit risk, financial risk, operations risk and their processes.