Job description
Make banking a Fifth Third better®
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
GENERAL FUNCTION:
This function includes interaction with Enterprise Risk Management senior management. The Credit Risk Data Analyst is a member of a team charged with assisting the Loan Loss Reserve Committee in developing quarterly estimates of the allowance for loan and lease losses that conform to appropriate accounting principles and regulatory guidance.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues, and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank’s risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Assist in the production of the commercial Allowance for Loan and Lease Losses (ALLL) methodology, reporting, and estimate in assigned areas:
- Responsible for performing data extraction, aggregation, and quality checking from multiple data sources to create data sets used in the commercial allowance estimation process, which requires the employee to.
- Develop a general understanding of existing and proposed credit loss models and ALLL methodologies, the data inputs for those models and the data structure from which inputs are obtained.
- Identify enhancements to data inputs for ALLL models and data structure, document business needs and determine impact of development and maintenance activities on existing models and data structure.
- Partner with the technical areas in the research and resolution of system, data set, and process problems and ongoing data quality improvement efforts.
- Manage large datasets and relational databases, including management of the ALSR data set and related SAS data aggregation programs, which includes adequate quality control over data integrity including validation checks against source and ancillary systems, and documentation of validation and audit trails.
- Define reporting and data requirements by consulting the ALLL team and IT about the types of information needed.
- Prepare and distribute monthly and quarterly ALLL reports.
- Determine how data should be organized and how it should be displayed to end users.
- Design and develop data models and reporting architecture, write/code basic scripts as needed to update or correct datasets.
- Collaborate with the ALLL Manager, Credit Risk Allowance analysts, External Reporting personnel, IT personnel, and other business teams to initiate, prioritize scope, design and deliver new reporting programs in SAS and/or Business Objects.
- Document, evaluate, and improve the design of reports in existence.
- Work with the ALLL Manager, External Reporting, and others to interpret accounting standards and regulatory requirements in order to define and manage data requests.
- Maintain data management and change control documentation, including Sarbanes-Oxley risks and controls.
- Work collaboratively with Internal and External Auditors, Federal Reserve Bank Examiners, and Model Validation personnel.
- Develop and maintain SAS reporting programs to provide data and analysis used in periodic studies on the loss emergence and look-back periods.
- Maintain the migration SAS code used to aggregate data for the commercial migration model.
- Maintain the ALSR Pivots SAS program including process improvement initiatives.
- Perform ad hoc analytics on large/diverse datasets using various tools and techniques to assist credit risk allowance analysts in developing qualitative adjustments to modeled credit losses.
- Develop executive-level reports and dashboards to summarize results
- Maintain procedural documents, data, and calculation reference material.
- Provide support to the Risk Management division and other downstream users of credit risk information.
- Communicate with internal stakeholders: Maintain regular communication with Accounting, the lines of business, various data sources, and Risk Management groups to ensure that all changes to data structure, data elements, and the impact of those changes on the allowance process are considered, documented, and presented to the ALLL Manager.
- Assume additional responsibilities as required to fulfill data enhancement goals.
- Participate in the development of new ALLL model(s) and methodology.
- Collaborate with the teams who design, develop, implement, document and maintain new models and methodologies to improve the quality, consistency and transparency of the estimation processes.
- Provide alignment of methodologies, data, and reports between the allowance, economic capital, and loss forecasting.
- Develop relationships within appropriate levels of management for process improvement ideas, issue identification and resolution.
MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
- Information Technology/Systems, Computer Science, Business Analytics, or similar undergraduate degree.
- 1-3 years applicable work experience with experience in or supporting financial and/or risk areas within financial services companies or regulatory organizations preferred.
- Database management certificate or equivalent preferred.
- SAS experience required, SAS certified preferred, experience with Business Objects preferred.
- Knowledge of Microsoft office products with strong Excel skills required.
- Data mining, manipulation and analyses that leverages SAS, BO, SQL, Microsoft Excel, including pivot tables, and charts, string manipulation, lookups, and filters.
- SQL programming and SQL query performance enhancements and database tuning/optimization;
- Data normalization, standardization, and parsing techniques; and analytical and database development.
- Ability to organize and present (written or verbally) complex topics and analysis in a clear and concise manner.
- Results driven and self-motivated individual with the ability to effectively partner with internal technology teams to optimize reporting solution architecture and data utilization.
- Ability to define data requirements and identify data sources, and database and/or system extract requirements and routines.
- Sound problem solving skills, including the ability to identify obstacles or issues, escalate as necessary, and work efficiently under the direction of their supervisor.
- Strong financial analysis, quantitative, conceptual, risk assessment, and analytic skills.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
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