Credit Risk Models and Expected Credit Losses Analyst (Hybrid/Miami Lakes)
About the positionResponsibilities• 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