Data Assurance Anlst-1LOD

• Development of reports and dashboards to represent views of bank data quality and metrics on the performance of data quality remediation activities
• Perform investigations and analysis on data anomalies, accessing direct database values, if necessary, to identify patterns and to direct root cause efforts
• Contribute to the definition and maintenance of a reporting framework to support the monitoring and management of data risk and control assurance activities
• Discover patterns, insights, trends and anomalies from straightforward analyses, data sets
• Identify data quality issues and concerns and support data governance initiatives
• Responsible for front-end data quality control design associated with lending origination
• Identifying risks and control points present in the lending origination program, by working with control owners and gaining an understanding of the banks holistic commercial lending process
• Identifying, reporting, and assigning prioritization to control gaps and control improvements
• Documentation of processes and controls, where necessary
• Collaborate with technology to promote adoption of more automated and reliable control toolsets
• Lead process improvement initiatives, as necessary
• Partner with business to enhance the overall control environment for data quality
• Analyze and report risk profile, control environment, gaps and recommendations

Must-Have*

• Bachelor's Degree In Management Information Systems or Computer Science
• Minimum 4 years of experience working in a data analysis role
• Minimum 2 years of experience with SAS or SQL
• Minimum of 2 years of experience with reporting and visualization tools
• Minimum 3 years of experience in banking operations

Skills and Knowledge

• 3+ years of experience in transformation, process improvement, business analysis, audit and/or quality control preferred
• 2+ years of experience with reporting and visualization tools (Tableau and Business Objects)
• Experience with commercial loan origination, servicing, or collateral systems such as AFS, FIS, Moody’s product suite preferred
• Knowledge of risk management framework (RCSA), and specifically data risk
• Experience with relational databases, SQL preferred
• Excellent verbal and written communication skills and the ability to convey messaging to a variety of levels of audience.
• Ability to exercise independent judgment, see ‘big picture’, and employ reasoning and problem solving skills.
• Excellent organizational skills.
• Proficient in multi-tasking and prioritizing projects.
• Attention to detail.
• Advanced Microsoft Excel skills with knowledge of vlook-up, logical statements, pivot tables, macros preferred
• Knowledge of CCAR or other regulatory reporting.