Risk Stripe Data and Reporting Analyst

CIBC - Chicago, IL

Full-time - Mid Level

Chicago, IL

Credit Intermediation and Related Activities

About the position

As a Risk Stripe Data and Reporting Analyst at CIBC, you will play a crucial role in the Risk Analytics and Infrastructure group. Reporting directly to the Director of Risk Analytics Data and Reporting, your primary responsibilities will include supporting various Risk Stripes such as ORM, Fraud/AML, and ERM. You will focus on data exploration, reporting development, and collaboration with technology and business teams to enhance Business Intelligence (BI) reporting and analytics capabilities. This position emphasizes process automation and improvement, enabling informed decision-making for portfolio management and strategy.

Responsibilities

• Streamline and automate data reconciliation reporting processes for consistent use in reporting development and advanced analytics.
• Collaborate with various Risk stripes and line of business partners to identify opportunities for process improvement, efficiency, and accuracy.
• Execute fast-paced proofs of concept using innovative solutions to demonstrate proposed solutions are viable.
• Define data requirements and solutions in partnership with various Line of Businesses.
• Partner and collaborate with Risk Management teams, Technology, Modeling, and Line of Business teams to design and implement interactive BI reporting capabilities.
• Enhance and support the end-to-end report automation processes including data model, BI platform, and interactive dashboards.
• Create appropriate documentation for stakeholders to follow data processes or analysis enabling them for self-service reporting.
• Provide ad-hoc analytical support to each respective risk stripe under Risk Management and Lines of Businesses.

Requirements

• 3+ years of experience in Risk Management or related work experience.
• Master's degree with a major in mathematics, statistics, finance, accounting, or a related area is preferred.
• Excellent research skills and analytical/data capabilities.
• Proficiency in MS Office, especially MS Excel and PowerPoint.
• Proficiency in SQL (SQL Server, PostgreSQL, MySQL).
• Proficiency in a statistical package (R).
• Proficiency with a scripting language (Python).
• Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.
• Ability to condense information and transform technical data into easily understandable concepts.
• Ability to effectively present information within and across teams both verbally and in writing.
• Superior time management skills, with the ability to effectively prioritize.

Nice-to-haves

• Exposure to third-party Tools: Microsoft Azure, Tableau, Qlik, Looker, R Shiny, PowerBI, Spotfire.

Benefits

• Competitive salary
• Incentive pay
• Banking benefits
• Health benefits programs
• Retirement savings
• Ongoing learning opportunities
• Individual development planning
• Comprehensive product training
• Paid time off for personal growth and development (Purpose Day)