Credit Risk Analytics Analyst

BankUnited, Inc.•Miami Lakes, FL

2d•Hybrid

About The Position

Reporting to the Manager, Enterprise Risk Analytics, the Credit Risk Analytics Analyst is part of the Enterprise Risk Analytics team, a dynamic team of talented professionals whose task is to produce valuable recurring risk reporting and analytics as well as advance the modeling framework to identify and manage financial risk. The Credit Risk Analytics Analyst uses a combination of quantitative, modeling, communication, and technical reporting skills to further advance the various risk analytics initiatives and add value to the organization by enhancing our credit risk modeling, monitoring, and reporting capabilities.

Requirements

2+ years' experience in financial services (banking, asset management, insurance, etc) with significant direct exposure to analytics and modeling applied to credit risk and/or market risk.
Experience with programming languages, particularly Python.
Experience utilizing and merging data from a variety of databases.
Experience with a wide assortment of financial modeling techniques, including but not limited to: credit losses, loss migration, interest rates, volatility, derivatives, VaR, prepayments, capital, forecast techniques, stress testing, scenario analysis, sensitivity analysis, RAROC, liquidity, FTP.
Prior experience in credit risk reporting.
Prior experience working with databases.
Prior experience automating tasks.
Deep understanding of credit risk models (PD, LGD, Credit VaR, etc). This Manager should be able to use this understanding to provide expert insight into the credit risk results they report and enhance the modeling capabilities of the team.
Excellent communication skills (visual, verbal, and written) with the ability to articulate complex concepts into a format digestible by a diverse audience.
Proficiency in generating reports using Tableau.
Proficiency with general quantitative modeling techniques (regression, simulation, optimization).
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.
Knowledge of latest modeling developments / trends.

Nice To Haves

Advanced degree in a quantitative discipline (PhD or MSc in a STEM discipline or Economics/Finance) preferred.
CFA, PRM, FRM a plus.

Responsibilities

Ownership of third-party vendor credit loss models for CRE and C&I. This includes periodic analytical review of model performance and updates, as well as, maintaining internal model documentation consistent with internal and regulatory expectations.
Become a leading expert in the Moody's CMM, RiskCalc, MPA, and ZMDesk, and models. This includes periodic review of model performance and updates, as well as, developing a deep knowledge on how the models work.
Advance and refine our use of Moody's CMM, RiskCalc, MPA, and ZMDesk 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 stress testing, credit risk attribution, credit VaR, sensitivity analysis, and risk decomposition initiatives.
Be a leading contributor to the quarterly and annual end-to-end stress testing exercises. Conduct ad-hoc analysis as required. Develop potential stress scenarios that are meaningful to management.
Contribute to the integration of risk results into capital planning, budgeting, and risk appetite frameworks.
Periodic reporting on financial risks. 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 credit risk reporting.
Contribute to the design and implementation of risk reporting across a variety of media.
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.