Credit Risk Analytics Lead

Clara; Bogotá ciudad; Híbrido; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary and ESOP

Multicultural team (Portuguese,Spanish

Annual learning budget

Hybrid work model

High-ownership environment

Descripción de la vacante

Clara is seeking a Credit Risk Expert in Bogotá to join a high-performance team shaping risk strategy across the business. You will work with Operations, finance and data teams to drive innovations in credit risk models and MIS, influencing scalable decisions and growth.

Requirements include extensive credit risk management experience in Latin America, strong SQL and data visualization skills, and fluency in English.

Formación

• Academic background in Actuarial Science, CS, Mathematics or Statistics with programming know-how.
• Proven experience in credit risk management in Latin American markets.
• Advanced proficiency in SQL and data visualization.
• Fluency in English is required.

Responsabilidades

• Support modeling initiatives across teams to align with risk goals.
• Drive innovation in data science to improve decision-making and efficiency.
• Provide data intelligence to support credit risk strategies and portfolio performance.
• Own the development and maintenance of regulatory and non-regulatory risk methodologies.
• Monitor model performance and recalibrate as needed.
• Own the Risk MIS and communicate findings to senior leadership.

Conocimientos

Credit risk management

SQL

Data visualization

English fluent

Programming

Educación

Actuarial Science, Computer Science, Mathematics, or Statistics

Herramientas

SQL

Python

Data Visualization tools

Descripción del empleo

Clara is seeking a Credit Risk Expert in Bogotá to join a high-performance team shaping risk strategy across the business. You will work with Operations, finance and data teams to drive innovations in credit risk models and MIS, influencing scalable decisions and growth.

Requirements include extensive credit risk management experience in Latin America, strong SQL and data visualization skills, and fluency in English.