Credit Risk Models and Expected Credit Losses Analyst (Hybrid/Miami Lakes)

About the position Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team of talented professionals whose task is to manage and maintain the credit risk models used to identify and manage credit risk, provide insight into the drivers of expected loss, and to produce the allowance for credit losses estimate (ACL). The Analyst uses a combination of quantitative, modeling, project coordination, communication, and technical reporting skills to produce the ACL estimate and model performance monitoring and add value to the organization by enhancing our credit risk modeling and losses estimation, monitoring, and reporting capabilities. Responsibilities • Assist with the Credit Risk model Ownership and become an experienced user of third-party vendor credit loss models for CRE, C&I, and Residential loans. • Advance and refine our use of Moody's CMM, RiskCalc, and MPA models. • Run and execute credit models to produce estimates and behaviors of credit risk (PD & LGD) for purposes of ACL estimation, business plan forecasting and other needs. • Develop proficiency in third-party vendor reserve calculation engine (Evolv), including in-depth knowledge of calculation logic and business rules. • Compile quarterly ACL documentation for executive management and internal and external auditor consumption. • Compile and present quarterly current economic assessment package for review and challenge by the Economic Forecast Committee. • Conduct interactive discussions with credit model experts, data scientists, accounting, credit and other key stakeholders. • Work closely with both internal and external auditors to assist in understanding of ACL methodology, credit model assumptions, quarterly results, data ETL process and ASC 326-20 (CECL) application. • Present quarterly results and other ad-hoc decisions to executive management and other key stakeholders for challenge and review. • Periodic reporting on ACL and models performance. • Drive the automation of modeling routines as well as report and dashboard generation. • Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives. • Adheres to and complies with applicable, federal and state laws, regulations and guidance. • Identifies and reports suspicious activity. Requirements • Degree in a quantitative discipline (e.g., Statistics, Finance, Mathematics, Engineering, Economics) required. • 1+ years' experience in financial services (banking, asset management, insurance, etc.) with some direct exposure to analytics and/or modeling applied to finance and risk. • Experience in using MS Office products, particularly Excel, Word, and PowerPoint required. • Experience with general statistical and quantitative modeling techniques required. • Experience utilizing and merging data from a variety of databases required. Nice-to-haves • Experience in creating and generating reports using Tableau preferred. • Experience with programming languages, particularly Python preferred. • CFA, PRM, FRM a plus. Apply tot his job