Description

Act as a credit data expert and statistics analyst within the Credit Risk Management team. You will identify new credit segmentation opportunities using statistical methods to enhance decision processes, collections, and fraud strategies.

Responsibilities

• Partner with functional teams to deploy, analyze, and track new credit risk management strategies.
• Manipulate large datasets to extract key insights and deliver actionable recommendations.
• Present findings and strategic recommendations directly to VP-level and C-level executives.
• Manage projects from hypothesis generation through to development and implementation.

Required Skills

• 5+ years of quantitative analytic modeling or comparable process management experience.
• Intermediate or higher proficiency in SAS or other statistical/analytical programming languages.
• Advanced Excel, Word, and PowerPoint skills.
• Proven experience presenting to executive leadership (VP/C-level).
• Strong project management awareness and organizational skills.
• Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics, or a related field.
• Ability to communicate complex insights clearly and concisely in both written and spoken forms.

Preferred Skills

• Graduate degree in a quantitative discipline.
• Proficiency in SQL, C++, Python, or R.
• Prior experience in consumer risk management or the Wireless/Telecom industry.

Key Skills

Education

Bachelor's degree