Risk Analyst - Data-Driven ML & Portfolio Risk (LATAM)

PayJoy, Inc; México; Sur place; MXN 400 000 - 650 000; Plein temps

Avantages offerts par ce poste

Health and dental

Life insurance

Grocery coupons

Co-working travel perk

Professional development

Résumé du poste

PayJoy, a Public Benefit Corporation, is hiring a Risk Analyst in Mexico to scale its point-of-sale phone finance lending portfolio across LATAM and other markets. You will use SQL and Python or R to build analyses, dashboards, and policy recommendations that optimize risk and profitability.

Collaborating with executives, Product, Engineering and GTM, you will define actionable next steps and contribute to data leadership across teams.

Qualifications

• Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineer or similar.
• +2 years of experience in rigorous analytical/empirical role.
• Strong general analytical and problem-solving skills.
• Mastery of SQL.
• Proficiency in Python or R.
• Understanding of statistical tools and methods, and experience working with large data sets.
• Consumer finance experience is a plus.

Responsabilités

• Use SQL and Python or R to extract and manipulate data to support recommendations.
• Make actionable recommendations to improve outcomes based on analysis.
• Work with Data Science to implement ML/AI models that optimize portfolio outcomes.
• Create dashboards to measure performance of credit portfolios, pilots and A/B tests.
• Write clear documentation that explains analysis and recommendations.

Connaissances

SQL

Python

R

Data analysis

Formation

Bachelor's degree in Finance, Economics, Mathematics, Industrial Engineer or similar

Description du poste

PayJoy, a Public Benefit Corporation, is hiring a Risk Analyst in Mexico to scale its point-of-sale phone finance lending portfolio across LATAM and other markets. You will use SQL and Python or R to build analyses, dashboards, and policy recommendations that optimize risk and profitability.

Collaborating with executives, Product, Engineering and GTM, you will define actionable next steps and contribute to data leadership across teams.