Hancock Bank

Credit Loss Accounting Analyst is responsible performing credit risk analysis, accounting for credit losses, loss forecasting and computation of the Allowance for Credit Losses (ACL) for all loan and lease portfolios.. Performs quarterly monitoring of all models related to loss forecasting, ACL. Collaborates with business and credit risk managers to ensure the timely delivery of results and related analysis.. Familiarity with building credit risk forecasting models such as roll rate, vintage, regression and probabilistic models highly desirable.. Strong knowledge of Microsoft Access, Excel, and PowerPoint, particularly knowledge of Visual Basic and usage of macros within Excel.. Knowledge of data querying languages and software, such as SAS, SQL, ODBC, OLEDB desired.

accounting analyst

Hancock Bank    Senior Credit Loss Accounting Analyst R012752    New Orleans ,  Louisiana      Apply Now     This is a Job Description for a Senior Credit Loss Accounting Analyst in New Orleans, Louisiana
Summary:
Credit Loss Accounting Analyst is responsible performing credit risk analysis, accounting for credit losses, loss forecasting and computation of the Allowance for Credit Losses (ACL) for all loan and lease portfolios. This position serves a critical role in providing data, performing analysis, and completing documentation for reporting of loans, allowance for credit losses, and other credit related disclosures for the Company's internal and external financial reports, which includes but is not limited to SEC and shareholder reports, regulatory filings, or executive management and Board of Director packages.
D
uties & Responsibilities: Supports the Bank's ACL process, including model development, execution, analysis, and documentation. Assist in supporting recommendations to Senior Management for provision and reserve levels monthly and run official ACL estimation quarterly. Applies existing accounting standards and regulatory rules and regulations and tracks emerging issues relating to the ACL. Analyzes portfolio credit performance across portfolio segments to develop an understanding of the key drivers of portfolio performance. Assists with presenting quarterly credit loss results to executive management as part of the governance processes.
This would include producing and providing materials for discussion for Executive management and the Board of Directors. Provides information and schedules related to credit loss inquiries and exams from model governance, internal audit, external audit and other regulators. Performs quarterly monitoring of all models related to loss forecasting, ACL. Collaborates with business and credit risk managers to ensure the timely delivery of results and related analysis. Performs functions to support loan and acquisition accounting. Executes assigned internal controls and reconciliations on a monthly and quarterly basis. Documents analysis regarding selection of assumptions utilized in credit loss estimation process. Maintains monthly and quarterly reporting processes to provide and disseminate information necessary for SEC, regulatory, and internal reporting. Identifies and resolves problems and inconsistencies, determining appropriate corrective procedures. Contributes to credit loss reporting packages at least quarterly to satisfy board reporting requirements, auditors, and other regulators. Prepare various journal entries, SEC disclosures, and regulatory reporting related to credit losses and loan accounting in accordance with the respective accounting guidance. Determines work procedures, prepares work schedules, and expedites workflow. Completes various projects by the assigned due date or deadline, coordinating with other departments in the company.
Requirements and Qualifications[]{# Hlk142289191}[]{# Hlk142304825}
:
Bachelor's Degree preferably in a quantitative or finance discipline. Familiar with Generally Accepted Accounting Principles. 5+ years of related analytics experience required; Banking experience preferred. Basic knowledge of advanced credit risk concepts desired, including probability of default (PD), loss given default (LGD), exposure at default (EAD), vintage and lifecycle effects, segmentation strategies, etc. Solid understanding of statistics. Familiarity with building credit risk forecasting models such as roll rate, vintage, regression and probabilistic models highly desirable. Strong knowledge of Microsoft Access, Excel, and PowerPoint, particularly knowledge of Visual Basic and usage of macros within Excel. Prior experience building financial models within Excel is very important. Knowledge of data querying languages and software, such as SAS, SQL, ODBC, OLEDB desired.

#J-18808-Ljbffr

START NEW SEARCH