Regulatory Data Product Owner Basel Regulatory Reporting Consultant
Eitacies Inc
Phoenix (AZ)
On-site
USD 90,000 - 120,000
Full time
14 days+
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Job summary
A leading financial consultancy is seeking a Regulatory Data Product Owner for their Phoenix, AZ office. This role involves analyzing regulatory capital data, supporting financial reporting, and collaborating with multiple teams. Ideal candidates will have a strong understanding of the Basel Regulatory Capital framework, hands-on SQL experience, and have worked in Agile environments. Join us to make an impact in the regulatory reporting landscape.
Qualifications
Strong understanding of Basel Regulatory Capital framework (Basel II/III).
Hands-on SQL experience with complex queries.
Experience in data profiling and analysis.
Responsibilities
Analyze and interpret regulatory capital data requirements.
Collaborate with technology teams to implement regulatory data solutions.
Support regulatory and financial reporting processes.
Skills
Regulatory Capital framework knowledge
SQL proficiency
Data Analysis
Financial reporting processes understanding
Agile methodology experience
Job description
Overview
Regulatory Data Product Owner / Basel Regulatory Reporting Consultant
Phoenix, AZ or Charlotte, NC Onsite role
Responsibilities
Analyze and interpret regulatory capital data requirements
Perform data profiling and validation across source systems
Define transformation logic and document data mapping (Source-to-Target)
Work closely with technology teams to implement regulatory data solutions
Support regulatory reporting and financial reporting processes
Participate in Agile ceremonies and backlog grooming
Collaborate with stakeholders across Risk, Finance and Technology teams
Required Experience / Qualifications
Strong understanding of Basel Regulatory Capital framework (Basel II/III)
Exposure to US regulatory reporting (FR Y-9C, CCAR, Call Reports preferred)
Hands-on SQL experience (writing and interpreting complex queries)
Data Profiling and Data Analysis experience
Experience with data sourcing, transformations and data lineage