Responsibilities
JOB RESPONSIBILITIES
- Performs extensive data analysis in support of financial planning, stress testing and reporting.
- Develops, tests, and documents internally developed quantitative models and analytics, includingplex financial, econometric, and statistical frameworks primarily focused on risk management and financial reporting.
- Implements, tests, and documents externally developed and / or licensed models.
- Assists with the integration of models within the FMA Department and amongst other Bank departments to ensure consistency and accuracy across all model outputs.
- Develops, tests, and documentsplex model execution procedures and controls to be run in an audited, production environment.
- Develops, tests, and documents procedures and controls for executing external, third-party models.
- Assists with the development and implementation of routine analytics and reports.
- Utilizes industry standard quantitative software, data science programming languages, database systems, and workstation productivity applications to produce required deliverables.
- Assists with the creation of management and regulatory reports containing descriptions of the development, testing, validation and execution of quantitative modeling and analytic outputs.
- Ensurespliance with modelernance policies and procedures as an integrated feature of all quantitative modeling and analytic activities.
- Performs modelernance procedures including the execution of required production controls; model, data and procedure version control; and end-userputing policies and guidelines.
- Assists with the analysis and documentation of Management, Internal Audit, Enterprise Risk Management and Regulatory findings and requirements.
- Assists with departmental cross-training and knowledge transfer to minimize staffing risk and promote effectivemunications.
ADDITIONAL ACCOUNTABILITIES
Performs special projects, and additional duties and responsibilities as required.Consistently adheres to regulatory andpliance policies and standards linked to the job as listed andplete requiredpliance trainings. Accountable to maintainpliance with applicable federal, state and local laws and regulations.JOB REQUIREMENTS
Required Qualifications :
Education level required : Undergraduate Degree (4 years or equivalent) in Finance, Economics, Statistics, Mathematics or another advanced quantitative field.Minimum experience required : 5 to 8 years of experience with credit risk modeling; including linear modeling frameworks (Ordinary Least Squares, Logistic Regression, Generalized Linear Models, Credit Risk Scorecards, Time Series, Roll Rate, Transition Matrix, etc.).5 to 8 years of experience withmercial lending data;mercial Real Estate ("CRE"),mercial and Industrial ("C&I"), Construction, and Asset-Based Lending ("ABL").5 to 8 years of experience working with and analyzing model data preparation requirements (missing values, transformations, re-classifications, etc.).3 to 5 years of experience with CCAR / DFAST modeling requirements.3 to 5 years of experience with ALLL / CECL modeling requirements.3 to 5 years of experience deploying credit loss models into a production ALM environment.3 to 5 years of experience using third-party macroeconomic forecast data.Preferred Qualifications :
Education level preferred : Master's Degree (or Postgraduate equivalent).Direct experience working in model development teams and projects within a CCAR regulated organization.Jobpetencies :
SAS : experience developing and documenting well-structured, standards-based SAS programs using Enterprise Guide, SAS data analysis and management procedures (Base SAS procedures, SAS macros, SAS functions, program factoring such as "Include", etc.), PROC SQL, statistical procedures (PROC GLM, PROC GEE, PROC GENMOD, PROC LOGISTIC, PROC ARIMA, etc.).R : experience using similar routines mentioned above with RStudio and standard R, additional R experience developing transition matrix models.Excel : experience developing and documenting well-structured, auditable workbooks, credit risk calculations, pivot tables, and publishable tables, charts, and graphs.SQL : experience developing and runningplex data extract and transformation queries using SAS' PROC SQL.Experience working in a SQL Server database environment.Experience working in a SAS Server environment using Enterprise Guide as the development and execution environment.Experience working with various data file formats including SQL databases, SAS, Excel, and raw format data.Experience working in a networked Microsoft Windows end-userputing environment.Travel requirements : Infrequent, domestic.Physical demands (ADA) : The job requires a moderate degree of physical exertion and stamina such as standing, sitting, walking, driving or infrequent lifting.Flagstar is an Equal Opportunity Employer.
Flagstar is an Equal Opportunity Employer
Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as aprehensive leave program. Please click the following link for detailed information : Benefits | Flagstar Bank
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable. Job ID 16737