Commercial Operation Analyst

What you will do

• Business Rule Development: Translate complex business requirements into executable code using the proprietary UI.
• Data Analysis: Work with large datasets to analyze and validate the outcomes of business rules. Use internal tools and functions to retrieve and process data points from various sources.
• Quality Assurance: Create and execute test cases to ensure that all new and modified rules function as intended, do not have unintended side effects, and produce accurate results.
• Troubleshooting: Investigate and resolve production issues related to rule execution and data processing.
• Documentation: Maintain clear and concise documentation of business rules and their corresponding technical implementation.
• Collaboration: Work cross-functionally with teams, including Product, Sales, Technology, D&A, Legal, and Compliance, to ensure all business and regulatory standards are met.
  

What Experience You Need

• Bachelor’s degree in Computer Science, Mathematics, statistics, or equivalent work experience
• 3-5+ years of experience in a systems or business analyst role, preferably within the financial services, credit, or a similar data-intensive industry.
• Prior experience working with a business rule engine
• English proficiency (C1)
• Technical Skills:
• Exceptional logical and analytical thinking skills
• Proven ability to write and debug complex boolean expressions and logical conditions
• Experience with data validation and quality assurance
• Familiarity with data manipulation and processing tools
• Soft Skills:
• Meticulous attention to detail and a commitment to data accuracy
• Excellent problem-solving and troubleshooting abilities
• Strong communication skills, both written and verbal
• Ability to work both independently and as part of a team in a highly regulated environment
  

What could set you apart

• Experience with scripting languages (e.g., C++, Python, Perl).
• Experience with XML or other structured data formats.
• Strong understanding of working with large data sets.
• Knowledge of consumer credit products and the business logic that governs them.