Description:

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 H-E-B, Turkish Airlines, Brooks Brothers, and Eddie Bauer to launch modern credit programs.
The Data Scientist will join the Credit Risk team and play a crucial role in building the analytical and modeling foundation for credit decisions.
Responsibilities include developing underwriting models, fraud detection systems, and credit policies that balance growth with risk mitigation.
The Credit Risk & Analytics team is essential for managing risks in lending and optimizing credit policies.
The role involves analyzing large datasets, designing experiments, monitoring model performance, collaborating with cross-functional teams, and leading innovation in data sources and modeling techniques.

Requirements:

Candidates should have 6+ 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 will be considered.
Proficiency in Python and relevant data science libraries (pandas, scikit-learn, NumPy) is required.
Expertise in SQL for querying and manipulating large datasets is necessary.
A solid understanding of statistical analysis, probability, and machine learning techniques relevant to credit risk is essential.
Candidates must have a strong understanding of the credit lifecycle, consumer lending principles, and relevant regulatory environments.
Strong analytical and problem-solving skills are required, along with the ability to communicate complex concepts clearly to diverse audiences.
Candidates should be comfortable managing projects end-to-end and collaborating in a fast-paced environment.

Imprint offers a diverse and inclusive workplace, committed to equal opportunity employment.
The company encourages talented individuals from all backgrounds to apply and contribute to the future of payments and rewards.
Employees will have the opportunity to work in a mission-driven environment focused on innovation in the fintech space.
The role provides a chance to make a real impact in the development of smarter financial products.