BankUnited
ACL Quantitative Analyst (Hybrid-Miami Lakes)
BankUnited, Miami Lakes, Florida, United States
SUMMARY:
Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team of 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 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 Tableau dashboards, Microsoft Excel reports, 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 to drive 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 (e.g., 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 (e.g., 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 (verbal and written) with the ability to articulate complex concepts in a digestible format for a diverse audience.
Strong interpersonal skills to collaborate across divisions within the company.
Ability to work under pressure, meet deadlines, manage competing initiatives, and adapt to an ever-changing pace with a focus on accuracy and attention to detail.
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Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team of 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 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 Tableau dashboards, Microsoft Excel reports, 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 to drive 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 (e.g., 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 (e.g., 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 (verbal and written) with the ability to articulate complex concepts in a digestible format for a diverse audience.
Strong interpersonal skills to collaborate across divisions within the company.
Ability to work under pressure, meet deadlines, manage competing initiatives, and adapt to an ever-changing pace with a focus on accuracy and attention to detail.
#GoForMore
#J-18808-Ljbffr