Imprint is a company focused on reimagining co-branded credit cards and financial products to be smarter and more rewarding.
The company partners with brands like Rakuten, Booking.com, and H-E-B to launch modern credit programs that enhance loyalty and drive growth.
The Data Scientist will join the Credit Risk team and will be responsible for building the analytical and modeling foundation for credit decisions.
The role involves developing underwriting models, fraud detection systems, and credit policies that balance growth with risk mitigation.
The Credit Risk & Analytics team is crucial for managing risks in lending and optimizing credit policies.
Responsibilities include developing credit models, analyzing datasets for insights, conducting experiments, monitoring model performance, collaborating with cross-functional teams, leading innovation in data sources, supporting pricing strategies, and communicating findings to stakeholders.
Requirements:
Candidates must have 4+ years of experience in data science, analytics, or quantitative credit risk management, preferably in a fintech or consumer lending environment.
An advanced degree (Master’s or PhD) in a quantitative field is strongly preferred, though exceptional candidates with a Bachelor's degree and relevant experience may be considered.
Strong proficiency in Python and relevant data science libraries is required.
Expertise in SQL for handling large datasets is necessary.
A deep understanding of statistical analysis, probability, and machine learning techniques relevant to credit risk is essential.
Candidates should have a solid understanding of the credit lifecycle, consumer lending principles, and relevant regulatory environments.
Strong analytical and problem-solving skills are required to tackle complex issues and drive data-driven solutions.
Excellent communication skills are necessary to translate technical concepts into actionable insights for diverse audiences.
Candidates should be comfortable managing projects end-to-end and collaborating in a fast-paced, cross-functional team environment.
Benefits:
The position offers competitive compensation and equity packages.
Employees will receive leading configured work computers of their choice.
Flexible paid time off is provided.
The company offers fully covered, high-quality healthcare, including dependent coverage.
Additional health benefits include access to One Medical and the option to enroll in an FSA.
Paid parental leave includes 16 weeks for the primary caregiver and 8 weeks for all new parents.
Employees will have access to industry-leading technology to foster innovation and productivity.