Data Oversight Analytics Consultant

Role & responsibilities

• Consult with business line and enterprise functions on less complex research
• Use functional knowledge to assist in non-model quantitative tools that support strategic decision making
• Perform analysis of findings and trends using statistical analysis and document process
• Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency
• Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing
• Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff
• Understand compliance and risk management requirements for supported area
• Ensure adherence to data management or data governance regulations and policies
• Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals
• Collaborate and consult with more experienced consultants and with partners in technology and other business groups

Desired Qualifications:

• Intermediate Microsoft Office (Word, Excel, Outlook, and PowerPoint) skills
• Experience with BSA/AML/OFAC laws and regulations.
• UAT/regression testing experience on data outputs involving complex data mapping designs.
• Lead or participate in providing technology initiatives for simple to moderately complex business problems within technology business systems
• Contribute to the development of systems and procedures that are both cost effective and meet the relevant business requirements.
• Advanced SQL
• Teradata experience is MUST
• Act as an internal consultant within technology and business groups by using quality tools and process definition or improvement to re-engineer technical processes.
• Collaborate and consult with business and technology teams to evaluate and resolve issues in order to provide technological solutions and manage both project schedules and deliverables.

Job Expectations:

• Data analyst with sound experience in handling AML/Fin crime data with hands on experience working with data quality and AML model specific code development and data validation skill