Quantitative Analyst (Hybrid-Miami Lakes)

BankUnited is seeking a Quantitative Analyst to join their Corporate Finance team. The Analyst will manage and maintain credit risk models, providing insights into expected loss drivers and producing the allowance for credit losses estimate, utilizing quantitative and technical reporting skills.

What you'll do:

• 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. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations
• Advance and refine our use of Moody's CMM, RiskCalc, and MPA models. This includes using Moody's models and leveraging external and internal data to drive improvements in credit risk accuracy and utilizing the outputs to further backtesting, credit risk attribution, and reserving initiatives
• 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. Perform periodic calculation runs, testing/debugging and report building
• Compile quarterly ACL documentation for executive management and internal and external auditor consumption, including methodology and quarterly results memo documents
• 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 to refine and improve ACL estimation and credit model performance efforts and other initiatives
• 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. This includes report generation in a wide variety of formats including but not limited to Tableau dashboards, Microsoft Excel report, PowerPoint presentations and Microsoft Word reports, on a periodic as well as ad-hoc basis
• Drive the automation of modeling routines as well as report and dashboard generation in a manner that drives consistency, accuracy and repeatability in reporting
• Work closely with the data and technology teams to improve the data infrastructure needed to support the above initiatives

What they're looking for:

• Degree in a quantitative discipline (eg 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
• Able to understand credit risk (e.g., PD, LGD) and cash flow calculations and mechanics
• Able to use this understanding to interpret and discover inconsistencies in credit risk results and to provide insight into the credit risk outputs and enhance the modeling capabilities of the team
• Strong communication skills (both verbal and written) with the ability to articulate complex concepts into a format digestible by a diverse audience
• Strong interpersonal skills to aid in working with different divisions within the company
• Ability to work under pressure, meet deadlines, manage competing initiatives, and adapt to an ever-changing work pace with a focus on accuracy and attention to detail
• Experience in creating and generating reports using Tableau
• Experience with programming languages, particularly Python