Job Location: Dallas, TX
Company Name: Wells Fargo
Date Posted: 2019-04-01
Valid Through: 2019-04-15
Employment Type: FULL_TIME
Job ID: 5556674
At Wells Fargo, we have one goal: to satisfy our customers' financial needs and help them achieve their dreams. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience.
Help us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.
Data Management and Insights (DMI), which is responsible for the data strategy and capabilities at Wells Fargo, focuses on leveraging data as a strategic asset and is a growing organization. Data is critical to Wells Fargo's continued success, deepening relationships with our customers, creating a seamless and convenient multi-channel experience, and meeting our commitment to satisfy our customers' financial needs. DMI defines how we use information across the company, align our business practices and support our continued focus on great customer experience
The Wholesale Data Office team delivers trusted, reliable data which drives strategic decisions, enables business growth, and facilitates a strong risk discipline. We enable usage of common data that is complete, trusted, understood, and aligned with our financial reporting.
This position will be supporting our iHub service with the Business Data services team. iHub is an authorized provision point which standardizes common foundational data and distributes to downstream applications and reporting services.
The position will support a number iHub workstreams tied to risk, regulatory and internal business line initiatives primarily focusing on loan and leasing data supporting our eOne initiatives. The eONE initiative seeks to build a 'one number' instrument data foundation that is complete, reliable, and aligned to the general ledger. The initiative will also establish the authoritative data source for common data elements between Corporate Finance and Corporate Risk management to support in scope risk and regulatory reporting. eONE will create a federated, coordinated set of applications and databases to support risk and finance, which will allow for agile and accurate risk and regulatory reporting and analytics that complies with BCBS 239, G&O and the Wells Fargo Enterprise Data Governance Policies and Standards.
Key Responsibilities Include:
The applicant should have a strong data management, Wholesale business background, and experience leading project work streams. You will be expected to perform complex analysis of datasets, build data mapping, and conduct data validation. This individual should be able to support iHub data needs associated with AFS (Automated Financial Systems) Lending systems. You will have the opportunity to interact with business and technology partners across Wholesale such as Risk, Finance, Lines of Business, and Systems of Record owners.
6+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling
2+ years of experience with Automated Financial Systems (AFS)
3+ years of commercial lending experience
3+ years of experience with SAS or SQL, or other data management, reporting and query tools
4+ years of experience in one or a combination of the following: data management, metrics & business intelligence, data warehouse
Extensive knowledge and understanding of research and analysis
Strong analytical skills with high attention to detail and accuracy
Excellent verbal, written, and interpersonal communication skills
Ability to articulate complex concepts in a clear manner
Ability to work and influence successfully within a matrix environment and build effective business partnerships with all levels of team members
Knowledge and understanding of data governance challenges and approaches: metadata, data quality, and data stewardship
Other Desired Qualifications
Proven experience working with data problems to solve and come up with innovative ideas and make things happen without management direction.
Knowledge and understanding of wholesale banking: products, platforms, policies, processes, and procedures.
Experience supporting or working with Wells Fargo AFS Lending systems.
Experience with database platforms such as Oracle, Hadoop, or Teradata.