VP Credit Data Quality Assurance

VP, Credit Data Quality Assurance

Oversee the Banks scorecard process to make sure it is working as efficiently and error-free as possible. Position will focus on extracting and analyzing data from the Banks credit scorecard database and looking for anomalies and inconsistencies. May also be responsible for directly managing staff with equivalent or less senior titles within the Analytics team.

Essential Job Functions:

1. Manage and understand scorecard model inputs (i.e., Moodys CMM and RiskCalc), workflows, applications, data outputs, and their use in downstream analysis and reporting across the Bank.

2. Collaborate with Data Engineering & Management (DEM), Quantitative Modeling Team (QMT) and Commercial Banking Credit Underwriting Team (CBCU) to ensure smooth operation of scorecard workflows.

  a. Identify and remediate data issues.

  b. Conduct analysis to support credit functions.

  c. Perform analysis of overrides to determine appropriateness.

  d. Maintain and monitor scorecard mapping (collateral, product, and purpose codes) to ensure that loans are directed to the appropriate scorecard.

3. Collaborate with QMT and DRM on the following:

  a. Verify model inputs via techniques such as random sampling and/or threshold breaches of risk indicators.

  b. Monitor model performance and manage new feature releases from the vendors.

  c. Develop and test model change and implementation requests.

  d. Document data workflows and data quality procedures specific to Scorecards.

  e. Develop new scorecards associated with new business lines or enhancements to the existing scorecard program.

4. Ensure the accuracy and appropriateness of data utilized by the Analytics team and provided by the Analytics team to related Bank departments.

5. Complete data requests from CBCU, including analysis of data inputs and model outputs.

6. May directly manage staff with equivalent or less senior titles within the Analytics team; absent direct management, serves as a mentor and technical expert for less experienced staff.

7. Regularly exercise discretion and judgment in the performance of essential job functions.

8. Maintain good punctuality and attendance.

9. Follow Bank policy, procedures, and guidelines.

Knowledge, Skills & Abilities:

1. General financial knowledge including basics of lending and loan structure.

2. Computer and software skills, including SQL, Alteryx, Power BI or Tableau, and Microsoft Office Suite (including Word, Excel, and Outlook).

3. Ability to use critical thinking and creativity to solve business problems.

4. Ability to work collaboratively with other teams to implement solutions.

5. Ability to communicate effectively both verbally and in writing to a broad level of audiences.

6. Ability to operate and work collaboratively in a fast-paced, unpredictable environment, with exacting deadlines.

Basic Qualifications:

1. Bachelors degree in business administration, accounting, finance, data analytics, or job-related discipline, or commensurate experience, required.

2. Minimum of five (5) years of demonstrated experience in data analysis, business intelligence, data management, or a related field, required.

3. Minimum of one (1) year of management experience, preferred.

4. Professional certification in data analysis (i.e. IBM or Google Data Analytics Certification), preferred.