Fraud Analytics Analyst
Mexico City
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PayJoy
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About PayJoy
PayJoy is a mission-first financial service provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. We lend through our patented technology that turns a smartphone into digital collateral, and our cutting-edge machine learning, data science, and anti-fraud AI allow us to offer the lowest cost and qualify the most customers in the industry. As of 2025 we have brought billions of dollars in credit to 15 million customers, doubling in the last two years while remaining strongly profitable and sustainable for the long term.
This role
The Fraud Analytics Analyst is responsible for leveraging data analytics to set a fraud strategy that serves as a competitive advantage, providing the right balance between a seamless user experience and great fraud controls.
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
PayJoy is a mission-first financial service provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. We lend through our patented technology that turns a smartphone into digital collateral, and our cutting-edge machine learning, data science, and anti-fraud AI allow us to offer the lowest cost and qualify the most customers in the industry. As of 2025 we have brought billions of dollars in credit to 15 million customers, doubling in the last two years while remaining strongly profitable and sustainable for the long term.
This role
The Fraud Analytics Analyst is responsible for leveraging data analytics to set a fraud strategy that serves as a competitive advantage, providing the right balance between a seamless user experience and great fraud controls.
Responsibilities
- Analyze large datasets to identify trends, patterns, and indicators of fraud, focusing on both broad fraud trends and specific areas such as credit card and transactional fraud.
- Develop and refine fraud detection models and algorithms to improve detection rates and false positives.
- Drive research projects through all its phases, from inception to deployment and impact assessment.
- Prepare and present analytical reports on fraud trends, findings, and the effectiveness of fraud prevention strategies.
- Write queries, design, build and maintain dashboards and visualizations to monitor randomized experiments and key metrics.
- Continuously quantify the impact in gross margin of fraud initiatives, size the economic opportunity of product vulnerabilities and process inefficiencies.
- Work cross functionally with stakeholders in Data Science, Fraud Operations, Product, and Go-to-market.
Requirements
- Bachelor’s degree in applied quantitative field, such as statistics, economics, mathematics, etc.
- 1-2 years of work experience with transactional fraud in credit lending and credit cards, working in the telecom industry and a fast-paced and rapidly changing environments.
- Strong SQL competencies, and experience with statistical programming languages such as R or Python.
- Excellent written and oral communication skills, summarize and communicate technical analysis to broad audiences.
- Strong analytical skills and who are curious by nature.
- Results-oriented and feels comfortable working both autonomously and in heavily cross-functional environments, taking full ownership of his/her own projects.
Benefits
- 100% Company-funded Health and Life Insurance for employees and immediate family members
- Indefinite-term contract
- 20 days of vacations
- Phone finance, Headphone, home office equipment and fitness perks.
- $2,000 USD annual Co-working Travel perk
- $2,000 USD annual Professional Development perk
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Analyst Jobs
Tags: Data Analytics Economics Finance Machine Learning Mathematics Python R Research SQL Statistics
Perks/benefits: Career development Fitness / gym Gear Health care Insurance
Region:
North America
Country:
Mexico
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