Quantitative Analyst (Hybrid-Miami Lakes)

Analyst Credit Risk

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.

Essential Duties And Responsibilities

Include the following. Other duties and special projects may be assigned.

• 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.
• Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
• Adheres to Bank policies and procedures and completes required training.
• Identifies and reports suspicious activity.

Education

Degree in a quantitative discipline (eg Statistics, Finance, Mathematics, Engineering, Economics) required

Experience

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 in creating and generating reports using Tableau preferred

Experience with programming languages, particularly Python preferred

Experience with general statistical and quantitative modeling techniques required

Experience utilizing and merging data from a variety of databases required

Certificates, Licenses, Registrations

CFA, PRM, FRM a plus

Knowledge, Skills And Abilities

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

Additional Information

Candidates residing in locations within BankUnited's footprint may be given preference.