Credit Risk Analytics Lead (SQL, Python)

American Express; Ciudad de México; Híbrido; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive base salary

Bonus incentives

Hybrid/onsite options

Career development

Descripción de la vacante

American Express CFR is seeking a data analytics professional in Mexico City to build and optimize risk strategies across consumer and commercial portfolios. You will design deep-dive analyses, extract insights from large databases using SQL and Python, and partner with cross-functional teams across geographies to balance growth with controlled risk.

The role emphasizes advanced analytics, data visualization, and clear communication of findings to managers and stakeholders in both English and

Formación

• Bachelor's degree in a quantitative field.
• Strong analytical and problem-solving skills with ability to drive results.
• Advanced SQL proficiency; Python experience preferred.
• Bilingual in English and Spanish with strong communication.

Responsabilidades

• Design and execute deep-dive analytics to inform risk strategies.
• Collaborate with cross-functional teams across geographies.
• Develop code to extract information from large databases and create visualizations.
• Monitor key credit risk metrics and provide actionable insights.

Conocimientos

Advanced SQL

Python experience

Analytical mindset

Stakeholder management

Educación

Bachelor's degree in a quantitative field

Herramientas

Python

Descripción del empleo

American Express CFR is seeking a data analytics professional in Mexico City to build and optimize risk strategies across consumer and commercial portfolios. You will design deep-dive analyses, extract insights from large databases using SQL and Python, and partner with cross-functional teams across geographies to balance growth with controlled risk.

The role emphasizes advanced analytics, data visualization, and clear communication of findings to managers and stakeholders in both English and