About The Position

We seek a dedicated credit risk professional to enhance our credit risk decision-making process through insightful analysis and advanced reporting. The ideal candidate will develop and manage dashboards for comprehensive credit risk reporting, prepare and automate risk management reports for various lending businesses, and conduct business impact analysis to support the achievement of strategic risk management goals. Responsibilities include preparing professional presentations for senior management, delivering strategic insights into lending product performance, and leading business optimization of existing reports and dashboards. The role requires strong analytical skills, proficiency in data visualization tools, and the ability to communicate complex insights effectively.

Requirements

  • College/university degree or 1-2 years of experience in data analysis and reporting
  • Familiarity with business intelligence applications and/or cloud services
  • Familiarity with reporting capabilities of existing ERP, CRM and/or database software vendors
  • Familiarity with querying and/or programming for data analysis
  • Basic understanding of visualization & reporting components
  • Knowledge of statistical methods, mathematical techniques, forecasting, cost-benefit analysis
  • Research skills
  • Interpersonal skills
  • Bachelor's Degree in Business Administration, Statistics, or related field

Responsibilities

  • Follow standard procedures to create and/or update basic reports and dashboards
  • Identify trends or patterns and help prepare ongoing reports and data visualizations in order to support business decisions
  • Contribute to reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
  • Partner with leaders and senior staff to define specifications for reports and analysis based on business needs and required or available data elements
  • Support and participate in team projects and initiatives
  • Utilize and adhere to data governance documents and procedures; alert supervisor if an inconsistency or inaccuracy is discovered during the course of reporting or analysis
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