Risk Data Science Intern, Imprint
$54.00 per hour
2-3 days a week in office
Branded payments and rewards products
Be an early applicant
Branded payments and rewards products
101-200 employees
Be an early applicant
$54.00 per hour
2-3 days a week in office
101-200 employees
Company mission
To make payments better for modern brands and their customers.
Role
Who you are
- Education: Currently pursuing a Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, etc.)
- Technical Skills: Coursework or project experience with Python (pandas, scikit-learn, NumPy) and SQL
- Analytical Curiosity: Interest in statistics, machine learning, and problem-solving
- Communication: Excellent communication skills, both written and verbal, with a customer-focused mindset
- Team Player: Eagerness to learn, collaborate, and take on new challenges
What the job involves
- We’re seeking a motivated Risk Data Science Intern to join our Winter 2025 Internship program
- This role provides hands-on experience in developing data-driven solutions that support smarter and safer credit decisions
- You’ll work closely with our Credit & Fraud Risk Analytics team to analyze large datasets, contribute to model development, and generate insights that help balance growth with responsible risk management
- Through this internship, you’ll gain exposure to the intersection of data science, credit risk, and fintech innovation, while contributing to projects that have a real impact on our business and customers
- Develop and Enhance Credit Models: Design, develop, and test statistical and machine learning models for credit risk areas (underwriting, fraud detection, portfolio management)
- Data Analysis & Insights: Explore large datasets, identify patterns, and contribute to insights that inform credit strategies
- Model Monitoring: Help track how models perform over time, assist with validation, and support documentation to ensure compliance with governance and regulatory standards
- Collaboration: Partner with cross-functional teams (Product, Engineering, Credit) to see how risk data science connects with product development and business strategy across the company
- Learning & Growth: Take on meaningful projects, receive mentorship from experienced data scientists, and build presentation skills by sharing your work with team members and senior leaders
- What You’ll Gain:
- Hands-on experience applying statistical and machine learning techniques to real-world credit and fraud risk problems in a high-growth fintech environment
- Exposure to the end-to-end credit lifecycle, including underwriting, fraud detection, portfolio monitoring, and policy optimization
- Opportunities to develop technical skills in Python, SQL, and data visualization while working with large, complex financial datasets
- Collaboration with experienced data scientists and cross-functional teams, learning how data-driven insights translate into business strategy and responsible growth
- A chance to make a meaningful impact by contributing to projects that improve risk prediction, enhance customer trust, and support innovative credit products
Our take
These days, all sorts of cards abound, from virtual cards to co-branded credit cards. Imprint aims to stand out in the increasingly crowded space by partnering with businesses to provide branded rewards cards for customers.
While there has been an increase in the number of companies offering branded financial products to reduce costs, Imprint sees its card programs as offering a new platform for deepening customer relationships: less of the nastiness of credit and a much greater focus on rewards.
The startup is focusing on refining its embedded finance solution to fulfil its vision of an Apple-pay like experience for merchants and consumers.
Imprint will hope that its lightweight service, fit for smaller customers like hotel chains, will allow it to compete with the major venture-backed players in the space like Cardless, Apto and Alviere. Its $75 million in venture capital raised in 2023 will go some way towards achieving these aims.
Freddie
Company Specialist at Welcome to the Jungle
Insights
103% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2024
$75m
SERIES C
Nov 2023
$75m
SERIES B
Total funding: $203m
Company benefits
- Leading configured work computers of your choice
- Generous and flexible PTO policy
- Fully covered, high-quality healthcare including fully covered dependent coverage
- Additional health coverage includes access to One Medical and option to enroll in an FSA
- 16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- An understanding that successful remote work requires flexibility and an appreciation for asynchronous work
- Access to industry leading technology across all of our business units — stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity
Company HQ
Little Italy, New York, NY
Leadership
Daragh Murphy
(CEO)Previously VP of Operations & Strategy at WeWork. They were a Junior Partner at McKinsey until 2018. Originally trained as a lawyer at Duke University, before working as a Corporate Lawyer at WilmerHale.
Michael Pechman
(Head of Operations)Portfolio Director of Thrive Capital until 2020. Before that, worked as a Product Manager at Google and as a Business Analyst at McKinsey.
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