As Regulatory Data Analyst, you will support the Data Owners, Data Consumers and Data Stewards in an Enterprise Data Remediation Process intended to remediate data concerns which arise from regulatory data not meeting quality requirements.
Key Responsibilities
- if a newly logged data concern is / related to an existing data concern / issue.
- Root Cause Analysis which determines the Break Point for Remediation. Defects identified in this process will answer What is broken, where the break occurred, and the underlying Root Cause, the "Why of the occurrence.
- and validate data provided and obtain new data where required to commence the Root Cause Analysis (RCA) Process.
- Data Quality Rule results to recommend Data Quality Rule modifications or, the need to investigate a Data-Related issue.
- the details of RCA by Recursive Data Transformation review and determine the Root causes of defects.
- potential preventive measures, tactical and / or strategic system for fixes.
- detailed Impact Analysis
- Remediation Ownership
- Data Quality rules including Data Construct, Critical Data Element, Rule registration in Collibra, scripting business rules, collaborating with Technology to implement Rules, Testing implementation of rules.
Minimum Qualifications
- years (also looking at 3-5 year bracket) plus experience in any of the following Data Management areas including, Regulatory Data Sourcing / Requirements gathering and testing, Regulatory report generation, Report Certification, Regulatory Data Quality control.
- with Basel III, CCAR, CECL, FR 2052A, FDIC, Y9C, LCR and other similar Banking regulations
- of consumer Banking Business / Product (Deposits, Cards, Loans, Mortgages) from a Risk, Finance, Compliance or, Operations perspective.
- Data Analysis and Problem-solving skills using excel
- in a collaborative environment working with cross functional teams
- interpersonal skills, interacting with clients both on the business side as well as technical specialists
- worked in an agile environment.
- degree in finance, Accounting, Economics, Engineering, Computer Science
Preferred Qualifications / Skills
- Analysis using SQL / Python
- Collibra
- Strong Communication and Presentation Skills
- Proficient is MS Office Tools.
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