The Role
Develop and deploy machine learning models for underwriting, fraud detection, risk scoring, and real-time decisioning. Analyze complex datasets, identify fraud trends, optimize model performance, design experiments, and collaborate with Product, Engineering, and fraud operations teams to improve loss prevention and responsible growth.
Summary Generated by Built In
About PayJoy
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
This role
We are looking for an exceptional new graduate to join our Risk & Fraud team. In this role, you will use data science and machine learning to underwrite customers and detect, prevent, and mitigate fraud across our platform. You will work at the intersection of machine learning, data, and strategy—building models and decisioning systems that protect customers while enabling responsible growth. This is a high-impact role where your work will directly influence loss prevention, user experience, and business performance.
Responsibilities
- Work within Fraud & Risk and partner with Product / Engineering teams to translate fraud patterns into scalable ML solutions.
- Develop and deploy machine learning models to detect and prevent fraudulent activity (e.g., transaction fraud, account takeovers, identity fraud).
- Analyze large, complex datasets to identify emerging fraud trends and vulnerabilities.
- Build and improve real-time decisioning systems and risk scoring frameworks.
- Design experiments and continuously optimize model performance (precision/recall, false positives, latency).
- Contribute to a feedback loop between model outputs and fraud operations to improve detection strategies.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field from equivalent top-tier program.
- Strong foundation in machine learning, statistics, and data analysis.
- Proficiency in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with large datasets and tools such as SQL and Pandas.
- Strong problem-solving skills and ability to think critically about adversarial systems.
- Demonstrated experience (internships, research, or projects) applying ML to real-world problems.
Benefits
- 100% Company-funded health insurance for employee and immediate family
- Company-funded employee life and disability insurance
- $2,000 annual Co-working Travel perk
- $2,000 annual Professional Development perk
- $340 Monthly Commuter benefit
- 401k contribution of 3% of salary (up to IRS limits)
- Headphone benefit, home office equipment allowance and wellness perks
- Catered lunches
- 20 paid vacation days, unlimited sick leave
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
PayJoy Principles
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- Strong foundation in machine learning, statistics, and data analysis
- Proficiency in Python
- Experience with TensorFlow, PyTorch, or scikit-learn
- Experience working with large datasets and tools such as SQL and Pandas
- Strong problem-solving and critical-thinking skills related to adversarial systems
- Demonstrated experience applying machine learning to real-world problems through internships, research, or projects
PayJoy Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PayJoy and has not been reviewed or approved by PayJoy.
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Fair & Transparent Compensation — Pay is considered market‑aligned for senior U.S. technical roles, and public salary bands help candidates benchmark and align expectations. Feedback suggests this transparency supports confidence that offers are competitive for role and location.
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Healthcare Strength — Company‑paid basic medical, dental, vision, life, and disability coverage is emphasized as a standout element versus many startups. Feedback suggests this reduces out‑of‑pocket burden and strengthens the core benefits foundation.
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Parental & Family Support — Paid parental leave and flexible hours are highlighted alongside dedicated time off. Feedback suggests these family‑oriented policies enhance the perceived completeness of the package.
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The Company
What We Do
PayJoy's mission is to deliver access to credit to the next billion people in emerging markets worldwide. Our unique mobile security technology gives customers the ability to afford their first smartphone on credit, using the phone itself as collateral, and then provides further access to credit to help weather life's unexpected financial surprises and climb the ladder of economic well-being. Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, Colombia, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to the next billion emerging consumers.
