Risk Data Scientist: Credit Underwriting & Growth

Imprint; New York (NY); On-site; USD 170,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation and equity packages

Flexible paid time off

Fully covered healthcare

20 weeks paid parental leave

Job summary

Imprint is seeking a Data Scientist for their Risk team in New York, focusing on improving credit decisions. This role involves building models for underwriting and fraud detection, and leveraging data to optimize approval rates.

Ideal candidates have 5-8 years in data science with strong Python and SQL skills and a passion for FinTech innovation. Imprint embraces diversity and encourages applications from all qualified individuals.

Qualifications

• 5 to 8+ years of experience in data science or risk analytics, ideally in fintech.
• Strong skills in Python and SQL for modeling and data transformation.
• Experience building credit risk or targeting models.

Responsibilities

• Own and improve the top-of-funnel credit decisioning pipeline.
• Build underwriting, targeting, and segmentation models.
• Design and analyze A/B tests on credit policies.

Skills

Python

SQL

Data Science

Risk Analytics

Statistical Inference

AI Tools

Tools

Snowflake

AWS

Job description

Imprint is seeking a Data Scientist for their Risk team in New York, focusing on improving credit decisions. This role involves building models for underwriting and fraud detection, and leveraging data to optimize approval rates.

Ideal candidates have 5-8 years in data science with strong Python and SQL skills and a passion for FinTech innovation. Imprint embraces diversity and encourages applications from all qualified individuals.