---
title: 'Data Scientist, Fraud Risk at Imprint'
canonical: 'https://feeny.ai/job/data-scientist-fraud-risk-imprint-remote-czypn1qj3rqv'
type: 'job'
last_seen: '2026-09-05'
---

# Data Scientist, Fraud Risk at Imprint

- **Company:** Imprint
- **Location:** Remote
- **Compensation:** $170k–$200k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/imprint/3c6d1671-c754-4a9a-8070-d5889dbf0684

## Job description

## WHO WE ARE

Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com http://Booking.com, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank.

In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.

## THE TEAM

The Risk team at Imprint builds the models, policies, and analytical systems that protect our credit card programs while delivering a fast and seamless member experience.

As a Data Scientist focused on Onboarding Fraud, you will own the modeling and analytics that power fraud and identity decisions from application submission through account opening. Your goal will be to stop identity theft, synthetic identity, first-party fraud, and other forms of application abuse while minimizing false positives, unnecessary verification, and friction for legitimate applicants.

You will partner closely with Fraud Strategy and Operations, Product, Engineering, Compliance, and Credit Strategy to improve onboarding fraud and KYC decisioning. You will build models, evaluate third-party fraud and identity vendors, test new scores and attributes, design experiments, and translate emerging fraud patterns into scalable policy changes. You will also build monitoring and AI-powered analytical workflows that detect shifts, diagnose root causes, and help the team respond quickly as fraud tactics evolve.

## THE OPPORTUNITY

- Own and improve Imprint's onboarding fraud decisioning across the full application journey, including identity verification, KYC controls, application fraud models, policy rules, decline and verification waterfalls, and manual-review strategies
- Build, validate, deploy, and monitor models that detect identity theft, synthetic identity, first-party fraud, and coordinated application abuse using identity, device, behavioral, application, bureau, network, and consortium signals
- Evaluate third-party fraud and identity vendors by testing scores and attributes, measuring incremental lift, overlap, coverage, stability, latency, and cost, and recommending when to add, replace, or retire signals
- Design and analyze A/B tests, shadow tests, holdouts, and champion/challenger strategies, balancing fraud losses and capture against approval rate, false positives, verification friction, and manual-review volume
- Investigate emerging fraud patterns and decision misses, combining application and post-booking outcomes with Fraud Operations feedback to develop new features, rules, models, and review strategies
- Build monitoring and AI-powered workflows that detect model drift, population shifts, vendor degradation, data-quality issues, and new attack patterns—and recommend adjustments for human review
- Partner with Fraud Operations, Product, Engineering, Compliance, and Credit Strategy to productionize changes, validate their impact, and communicate recommendations to senior leadership and external partners

## YOUR PROFILE

Required

- 5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
- Strong Python and SQL skills, with the ability to build models, transform raw data, and create custom datasets from complex financial data
- Experience building and evaluating predictive models for fraud, identity, KYC, AML, credit risk, trust and safety, or another adversarial classification problem
- Strong understanding of supervised machine learning, model validation, backtesting, calibration, feature engineering, and production model monitoring
- Deep understanding of statistical inference and experiment design, including A/B tests, holdouts, champion/challenger tests, causal measurement, and tradeoff analysis
- Ability to evaluate decision systems—not just model performance—using metrics such as fraud capture, loss rate, false-positive rate, approval impact, verification friction, operational workload, and economic value
- Full-stack problem-solving orientation: you can trace a decision through raw inputs, vendor responses, model scores, policy rules, and downstream outcomes to find the root cause of a problem
- Comfort owning projects end-to-end, from problem definition and exploratory analysis through production implementation, monitoring, and business impact measurement
- Ability to communicate complex analytical findings and decision tradeoffs clearly to technical and non-technical audiences
- Comfort using AI tools to accelerate analysis, investigation, feature development, documentation, and monitoring—and excitement about building AI-powered risk systems

## Nice to Have

- Experience with application or onboarding fraud, including identity theft, synthetic identity, first-party fraud, application manipulation, or fraud rings
- Familiarity with KYC, CIP, identity verification, document verification, device intelligence, behavioral signals, consortium data, credit bureau data, or alternative data sources
- Experience evaluating and integrating third-party fraud or identity vendors, including measuring incremental value relative to existing controls
- Experience with real-time scoring, decision engines, rules platforms, APIs, or production ML systems
- Experience partnering with fraud operations or investigations teams and converting case-review findings into scalable controls
- Familiarity with credit card underwriting, consumer lending, or regulated financial products
- Experience with graph, anomaly-detection, or weakly supervised methods for identifying coordinated or emerging fraud patterns

We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.

Stack

Python and SQL for modeling and analysis. Snowflake for data warehousing. AWS infrastructure. Dashboarding and monitoring tools for production systems.

## LEARN MORE

Learn more about how we build at Imprint on our engineering blog: https://medium.com/imprint-eng

## PERKS & BENEFITS

- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered, high-quality healthcare, including fully covered dependent coverage
- Additional health coverage includes access to One Medical and the option to enroll in an FSA
- 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
- 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

Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

## About Imprint

## Company Overview
- **One-liner**: Imprint provides a modern platform for iconic brands to design, launch, and manage co-branded credit cards, deposit accounts, and installment loans.
- **Entity Type**: Private (Series D)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Daragh Murphy (CEO)

## Core Business
- **Primary industry**: Financial Services / Fintech
- **Target customers**: B2B (enterprise brands like Shell, Rakuten, Booking.com)
- **Mission or purpose statement**: "Change the way brands build loyalty" by creating co-branded financial products that are worthy of iconic partner brands and their customers.

## Products & Services
- **Imprint Core**: A full-stack credit card platform handling sign-ups, transactions, rewards redemption, and everything in between. Designed to be tailored to each brand’s identity.
- **Co-branded Credit Cards**: Bespoke credit card programs for partner brands, including rewards, underwriting, and customer engagement.
- **Deposit Accounts & Installment Loans**: Additional financial products offered to partner brands to deepen customer loyalty.
- **Predict, Insights, Marketing, Rewards**: A suite of tools for partner brands, including underwriting analytics, customer insights, marketing automation, and rewards management.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (previously reported as a "billion valuation" by LinkedIn sources).
- **Key Metric**: Total Funding of **$866 million** across 7 rounds, including a **$150 million Series D** (December 2025) led by Khosla Ventures. Annual revenue is estimated at **$35.6 million**.
- **Notable Investors/Partners**: Thrive Capital, Kleiner Perkins, Ribbit Capital, Khosla Ventures, Hedosophia, Stripe, Silicon Valley Bank. Partners include Shell, Rakuten, and Booking.com.
- **Growth Signals**: Headcount grew **46.6% YoY** to 181 employees. Recognized by Fast Company as one of the most innovative companies in finance (2025). Secured a $500 million credit facility with Mizuho, Truist, and HSBC.

## Competitive Advantages
- **Modern, purpose-built platform**: Imprint built its own credit card platform from scratch, avoiding legacy tech stacks and enabling faster, more flexible product customization.
- **Speed and reliability**: 3x faster application decisions than the industry average; 75% non-crash rate on mobile; 99.99% backend uptime; 24/7 on-call engineering.
- **SOC 2 Type 2 & PCI DSS Certified**: Demonstrates enterprise-grade security and compliance, crucial for large brand partnerships.
- **Strong brand partnerships**: Already serving iconic, everyday brands (Shell, Rakuten, Booking.com), providing a powerful network effect and credibility.
- **Capital infrastructure**: Multiple credit facilities (Citibank, Mizuho, Truist, HSBC) totaling over $800 million, enabling scalable program growth.

## Strategic Focus
- **Scale and modernize the co-branded financial space**: Targeting the massive, slow-to-modernize market of co-branded cards.
- **Deepen brand partnerships**: Expanding product offerings (deposits, loans) and underwriting capabilities (e.g., partnership with Nova Credit for cash flow analytics).
- **International expansion**: Presence in Brazil and Colombia, with a growing global team.
- **Product velocity**: Continuing to build a high-efficiency engineering team to rapidly iterate on the platform.

## Why Work Here
- **Culture**: Described as high-performance, ambitious, and collaborative. Values include "Lead with clarity," "Own a high bar," "Grow," and "Be humble together." Emphasis on direct feedback, ownership, and data-driven decision-making.
- **Remote/Hybrid Policy**: Offers remote roles, though specific teams may require in-office presence in San Francisco, New York, or Bellevue (WA).
- **Engineering & Technical Excellence**: Strong tech stack (TypeScript, React, Kubernetes, Python, Go, etc.). Engineering team is a core part of the business, with a focus on building reliable, scalable financial infrastructure.
- **Growth Trajectory**: High-growth environment with significant funding and a rapidly expanding team. Opportunity to work on complex, high-impact problems in fintech.
- **Compensation & Perks**: Employer rating of 3.4/5 on LinkedIn, with compensation rated 3.8/5 (higher than culture/work-life balance). Attracts talent from top companies (Capital One, Venmo, Amazon, PayPal, Klarna).
- **Team Composition**: 57 technical staff (22% of workforce), with a flat-ish structure (17% specialists, 16% managers, 14% seniors). Active hiring with 33 open roles.

## Sources
1. [imprint.co](https://imprint.co/)
2. [imprint.co/about](https://imprint.co/about)
3. [imprint.co/careers](https://imprint.co/careers)
4. [linkedin.com/company/imprint-payments](https://www.linkedin.com/company/imprint-payments)
5. [jobs.ashbyhq.com/imprint](https://jobs.ashbyhq.com/imprint)

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