BankUnited
ACL Quantitative Analyst (Hybrid-Miami Lakes)
BankUnited, Hialeah, Florida, United States, 33014
Credit Risk Models and Expected Credit Losses Analyst (Hybrid/Miami Lakes)
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Credit Risk Models and Expected Credit Losses Analyst (Hybrid/Miami Lakes)
role at
BankUnited . SUMMARY:
Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team responsible for managing and maintaining credit risk models. These models are used to identify and manage credit risk, provide insights into expected loss drivers, and produce the allowance for credit losses estimate (ACL). The Analyst will utilize quantitative, modeling, project coordination, communication, and technical reporting skills to enhance credit risk modeling, losses estimation, monitoring, and reporting capabilities. ESSENTIAL DUTIES AND RESPONSIBILITIES: Assist with Credit Risk model ownership, becoming an experienced user of third-party vendor credit loss models for CRE, C&I, and Residential loans. Perform periodic reviews of model performance and updates, and maintain internal documentation per regulatory standards. Advance and refine the use of Moody's CMM, RiskCalc, and MPA models. Leverage these models with internal and external data to improve credit risk accuracy and support backtesting, attribution, and reserving initiatives. Run credit models to estimate PD and LGD for ACL estimation, business forecasting, and other purposes. Develop proficiency in third-party reserve calculation engine (Evolv), understanding its logic and business rules. Conduct calculation runs, testing, debugging, and report creation. Compile quarterly ACL documentation for management and auditors, including methodology and results memos. Present quarterly economic assessments for review by the Economic Forecast Committee. Engage with credit model experts, data scientists, and stakeholders to refine ACL estimation and model performance. Collaborate with auditors to explain ACL methodology, model assumptions, and data processes. Present quarterly results and ad-hoc analyses to management and stakeholders. Automate modeling routines and reporting processes to ensure consistency and accuracy. Work with data and technology teams to improve data infrastructure supporting these initiatives. Comply with applicable laws and regulations, including anti-money laundering requirements. Complete required training and report suspicious activities as necessary. EDUCATION:
Degree in a quantitative discipline (Statistics, Finance, Mathematics, Engineering, Economics) required. EXPERIENCE: At least 1 year in financial services with exposure to analytics or modeling related to finance and risk. Proficiency in MS Office, especially Excel, Word, PowerPoint. Experience with Tableau and programming languages like Python is preferred. Knowledge of statistical and quantitative modeling techniques. Experience merging data from various databases. CERTIFICATES:
CFA, PRM, FRM are a plus. SKILLS AND ABILITIES: Understanding of credit risk mechanics (PD, LGD). Ability to interpret and analyze credit risk outputs. Strong communication skills for diverse audiences. Interpersonal skills to collaborate across divisions. Ability to work under pressure, meet deadlines, and pay attention to detail. Seniority level
Entry level Employment type
Full-time Job function
General Business, Management, and Business Development Industries
Banking
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Join to apply for the
Credit Risk Models and Expected Credit Losses Analyst (Hybrid/Miami Lakes)
role at
BankUnited . SUMMARY:
Reporting to the Allowance for Credit Losses Manager, the Analyst will be part of a dynamic team responsible for managing and maintaining credit risk models. These models are used to identify and manage credit risk, provide insights into expected loss drivers, and produce the allowance for credit losses estimate (ACL). The Analyst will utilize quantitative, modeling, project coordination, communication, and technical reporting skills to enhance credit risk modeling, losses estimation, monitoring, and reporting capabilities. ESSENTIAL DUTIES AND RESPONSIBILITIES: Assist with Credit Risk model ownership, becoming an experienced user of third-party vendor credit loss models for CRE, C&I, and Residential loans. Perform periodic reviews of model performance and updates, and maintain internal documentation per regulatory standards. Advance and refine the use of Moody's CMM, RiskCalc, and MPA models. Leverage these models with internal and external data to improve credit risk accuracy and support backtesting, attribution, and reserving initiatives. Run credit models to estimate PD and LGD for ACL estimation, business forecasting, and other purposes. Develop proficiency in third-party reserve calculation engine (Evolv), understanding its logic and business rules. Conduct calculation runs, testing, debugging, and report creation. Compile quarterly ACL documentation for management and auditors, including methodology and results memos. Present quarterly economic assessments for review by the Economic Forecast Committee. Engage with credit model experts, data scientists, and stakeholders to refine ACL estimation and model performance. Collaborate with auditors to explain ACL methodology, model assumptions, and data processes. Present quarterly results and ad-hoc analyses to management and stakeholders. Automate modeling routines and reporting processes to ensure consistency and accuracy. Work with data and technology teams to improve data infrastructure supporting these initiatives. Comply with applicable laws and regulations, including anti-money laundering requirements. Complete required training and report suspicious activities as necessary. EDUCATION:
Degree in a quantitative discipline (Statistics, Finance, Mathematics, Engineering, Economics) required. EXPERIENCE: At least 1 year in financial services with exposure to analytics or modeling related to finance and risk. Proficiency in MS Office, especially Excel, Word, PowerPoint. Experience with Tableau and programming languages like Python is preferred. Knowledge of statistical and quantitative modeling techniques. Experience merging data from various databases. CERTIFICATES:
CFA, PRM, FRM are a plus. SKILLS AND ABILITIES: Understanding of credit risk mechanics (PD, LGD). Ability to interpret and analyze credit risk outputs. Strong communication skills for diverse audiences. Interpersonal skills to collaborate across divisions. Ability to work under pressure, meet deadlines, and pay attention to detail. Seniority level
Entry level Employment type
Full-time Job function
General Business, Management, and Business Development Industries
Banking
#J-18808-Ljbffr