Remote Credit Risk Strategy Data Scientist

globalplacementfirm; San Jose (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

globalplacementfirm is seeking a Credit Strategy Data Scientist to join its Credit Risk Strategy team. This remote, 12-month contract role focuses on building data-driven credit solutions and risk controls to support responsible growth.

You will design rules, analyze loss trends, and develop dashboards (Tableau) for executives, working with wide datasets and cross-functional partners in fintech/payments. Strong SQL, Python, and communication skills are essential.

Qualifications

• Bachelor's degree in CS/Engineering/Math/Stats or related field.
• 2+ years in risk analytics, data science, or data analysis, preferably fintech/payments.
• Proficiency in SQL, Python, and Excel with core data science libraries.

Responsibilities

• Design and implement data-driven rules to detect and mitigate credit losses.
• Investigate complex and high-impact risk cases and identify root causes.
• Set and refine credit risk strategies across various risk categories.
• Collaborate with product and engineering teams to enhance risk control capabilities.
• Lead the development of dashboards, visualizations, and reports to track credit KPIs.
• Present data-backed recommendations to stakeholders and executives.
• Use large-scale datasets to uncover patterns and drive risk optimization.
• Work with RaaS platforms to analyze loss trends and apply strategic adjustments.

Skills

SQL

Python

Excel

Data analysis

Tableau

Communication

Education

Bachelor's degree

Tools

AWS

Job description

globalplacementfirm is seeking a Credit Strategy Data Scientist to join its Credit Risk Strategy team. This remote, 12-month contract role focuses on building data-driven credit solutions and risk controls to support responsible growth.

You will design rules, analyze loss trends, and develop dashboards (Tableau) for executives, working with wide datasets and cross-functional partners in fintech/payments. Strong SQL, Python, and communication skills are essential.