Credit Risk Modeling Analyst: Data-Driven Insights

Dyna.Ai; Ciudad de México; Presencial; MXN 320.000 - 520.000; Jornada completa

Descripción de la vacante

A leading analytics firm based in Mexico City is seeking a skilled professional in consumer credit risk management. The role involves applying statistical and machine learning techniques to develop effective risk control models while collaborating with product and data teams. Ideal candidates will possess a Bachelor’s degree in a relevant field and strong proficiency in SQL and Python. Excellent communication and analytical skills, alongside fluency in both local language and English, are essential for success in this fast-paced environment.

Formación

• Bachelor’s degree or higher in Finance, Economics, Statistics, Mathematics, Computer Science, or related fields.
• Proficiency in SQL, Python, and other statistical analysis tools, with solid programming capabilities.
• Ability to quickly absorb new knowledge and adapt to fast-paced work environments.
• Strong logical thinking and data analysis capabilities to extract actionable insights from complex datasets.
• Excellent verbal and written communication skills for cross‑functional teamwork.
• Fluency in the local language and professional working proficiency in English.

Responsabilidades

• Master fundamental theories and practical methodologies of consumer credit risk management.
• Apply statistical and machine learning techniques to analyze borrower default risks.
• Monitor key risk indicators (KRIs) and optimize solutions.

Conocimientos

Statistical analysis

Machine learning

Data analysis

Communication

Collaboration

Educación

Bachelor’s degree or higher in Finance, Economics, Statistics, Mathematics, Computer Science, or related fields

Herramientas

SQL

Python

Descripción del empleo

A leading analytics firm based in Mexico City is seeking a skilled professional in consumer credit risk management. The role involves applying statistical and machine learning techniques to develop effective risk control models while collaborating with product and data teams. Ideal candidates will possess a Bachelor’s degree in a relevant field and strong proficiency in SQL and Python. Excellent communication and analytical skills, alongside fluency in both local language and English, are essential for success in this fast-paced environment.