Description

Own credit segmentation and risk strategy analysis using statistical methods to enhance decision processes, collections, and fraud detection.

This role is on-site.

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