Risk Data Visualization Analyst

Job Description:

Risk Data Visualization Analyst will assist in the research, development, and support of a Risk Business Intelligence Platform and other technology solutions. Help ensure timely recurring and production of reporting, dashboarding, and analysis. Help promote the value and the potential of BI in the Risk organization. Works collaboratively with business units to thoroughly understand the bank’s reporting needs and outcomes.

Main Job Tasks and Responsibilities:

• Collaborate with Management and BSA Department staff to fully understand the data needs of the organization.
• Research business requirements and data characteristics to accurately map source data and attributes into viable reports, KRI’s, KPI’s, and dashboards.
• Build and test reports used by Management, Sr. Leadership and various Risk functions for management and business reporting.
• Assist in the production of executive summaries, dashboards, and reporting automations and programming.
• Assist on special projects within the department as the need arises.

• Perform statistical/analytical analysis, root cause analysis, data mining, business intelligence, visual analytics/visualization in support of BSA/AML operations.
• Utilize visualization techniques to showcase results of analysis in presentations including capacity analysis, tuning analysis, and transaction and customer analysis.

• Collect documentation and data for BSA/AML/OFAC audit, exams, and risk assessments.
• Assist business units in implementing automations and processes necessary to comply with regulations.

• Perform additional duties as assigned.
• Follow and comply with all regulatory and compliance regulations.

Education and Experience:

• Bachelor’s Degree mathematical, technical, or equivalent or 2-4 years working with BI solutions/systems.

• 1-2 years banking experience.
• Experience with Fintech companies a plus.
• 2-3 years of experience on database environments and business information systems.
• 1-2 years knowledge of BI reporting and dashboarding.
• Knowledge in Data Modeling concepts; Dimensional, Relational a plus.
• Strong proficiency in MS Office products.

Key Competencies

• Awareness of and ability to use statistical techniques and research methods with direction.
• Strong analytical, problem solving skills and abilities.
• Strong attention to detail and accuracy.
• Ability to manage multiple tasks/projects and deadlines simultaneously.
• Ability to work independently and with a team.
• Strong verbal and written communication skills.