About PayJoy

PayJoy 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 credit cards, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and provide safety 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

The Risk Analyst is responsible for using data warehouses to build analysis, policy recommendations, and dashboards that optimize risk outcomes across portfolios of credit products and countries, in order to improve product profitability and risk KPIs.

Responsibilities:




- Use SQL and R or Python to extract and manipulate data underpins your recommendations (we are very data-driven).
- Make actionable recommendations about how to improve outcomes based on your analysis.
- Work closely with the Data Science team to implement ML and AI models that optimize portfolio outcomes.
- Create dashboards that measure performance of credit portfolios, new product pilots and A/B tests.
- Write succinct and thoughtful documentation that explains your analysis and recommendations.

Requirements:
- Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineering or a similar quantitative field.
- +2 years of experience in a rigorous analytical/empirical role.
- Strong general analytical and problem-solving skills.
- Mastery SQL, Python and other tools for Data Analysis.
- Understanding of statistical tools and methods, and experience working with large data sets.
- Consumer finance experience is a plus.

Benefits:
- 100% Company-funded Health and dental and

📌 Risk Analyst (Ciudad de México)
🏢 Payjoy
📍 Ciudad de México