Risk Management Data Analyst Commerce Bank

Description

Job Category: Grade 09
Location: 922 Walnut St, Kansas City, Missouri 64106
Time Type: Full Time

The main purpose of this job is to support Risk Management in developing plans and methods to identify and analyze analytical tools/processes throughout the Bank that may pose various risk and to participate in data intensive initiatives as needed as a representative of the second line of defense.

 

Responsibilities

• Work with management to develop a methodology that identifies tools that require independent validation
• Perform initial planning and scoping activities with management for the tool that will be validated
• Develop and execute a validation plan that tests the conceptual soundness, governance structure, and applicability of ongoing monitoring for certain tools used throughout the Bank
• Work with management to craft recommendations for potential risks present within the tool/process
• Design and lead data projects for examinations, data intensive regulatory processes, or other Risk Management data initiatives
• Develop metrics and data analytic tests to effectively evaluate different tools and partner with management to interpret the results
• Assist with data mining projects throughout Risk Management during the exam planning process, and for periodic compliance monitoring assessments, by helping determine available data sources/tools (e.g. OnDemand, Business Objects, ACL, etc.) and techniques to evaluate those sources
• Assist Risk Management monitoring teams with development of analytics to assess large, comprehensive data sets for compliance with various laws and regulations
• Actively seek out best practices and emerging trends both internally and externally to provide recommendations for how to leverage new techniques to manage risks
• Provide technical guidance and expertise to Risk Management department staff, which may, at a minimum, include the following: technical training and mentoring, maintaining current knowledge of technology industry trends and practices and working with other Risk Management staff to evaluate technology impacts in their reviews.
• Perform other duties as assigned

Qualifications / Requirements

• Intermediate knowledge of data analysis, including data extraction tools and technology (preferably Power BI, ACL, Business Objects, AQT, SQL, or similar) and MS Access
• Intermediate understanding of relational database concepts and queries
• Demonstrated ability to summarize and explain technical data/processes
• Demonstrated ability to analyze and document processes, data, procedures, and controls
• Demonstrated critical thinking and problem-solving skills
• Ability to manage interrelated and/or complex issues and to respond to changes regarding project objectives, scope,
or deadlines.
• Intermediate presentation, analytical and critical thinking skills
• Strong project management skills
• Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities
• Inquisitive, agile and strong team player with excellent written, verbal and interpersonal communication skills
• Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values
• Intermediate level proficiency with Microsoft Word, Excel, Teams and Outlook

Education & Experience

• Bachelor's degree in Data Science, Computer Science, Information Technology, Mathematics, Accounting, or other Business focused degree or equivalent combination of education an d experience required. Master’s degree in a technical field or a business-related such as Data Science, Actuarial Science, Applied Statistics, MBA or MSF preferred
• 4+ years data analysis experience with progressively increasing responsibility and performance or technical internal audit, with proven data analysis experience required
• Advanced hands on experience in Statistical Software (e.g. SAS, R, Python) and big data environments (e.g. cloud (e.g. AWS, Azure, Snowflake), and on-prem (e.g. Hadoop), as well as traditional data warehouse environments (e.g.
Teradata) required
• Financial institution experience or familiarity with the industry preferred
• Technical knowledge of financial industry processes preferred