Structured Finance Data Analyst — SQL & Python

Crisil; Bogotá; Presencial; COP 36.000.000 - 72.000.000; Jornada completa

Descripción de la vacante

CRISIL is seeking a detail-oriented Analyst to join our Bogotá team. This position focuses on structured finance data modeling, data manipulation, and analytical support for cross-functional projects.

You will work with large financial datasets and develop insights to support decision making. The ideal candidate has strong numerical and programming skills, with fluency in English and a passion for finance analytics.

Formación

• Strong numerical, logical, and data-driven skills.
• Experience with structured finance modeling and operations.
• Self-motivated, eager to learn, and passionate about working with numbers and financial data.

Responsabilidades

• Perform data gathering, manipulation, and validation to ensure accuracy and completeness.
• Analyze models and present insights that support decision-making processes.
• Collaborate with cross-functional teams to provide operational and analytical support.
• Monitor data workflows to identify and resolve discrepancies or inefficiencies.
• Generate reports and visualizations for internal and external stakeholders.
• Advanced proficiency in SQLand Python
• Good communication in English is a must.
• Strong analytical and critical thinking skills
• Attention to detail and the ability to manage multiple priorities.

Conocimientos

SQL

Python

Data analysis

English communication

Descripción del empleo

CRISIL is seeking a detail-oriented Analyst to join our Bogotá team. This position focuses on structured finance data modeling, data manipulation, and analytical support for cross-functional projects.

You will work with large financial datasets and develop insights to support decision making. The ideal candidate has strong numerical and programming skills, with fluency in English and a passion for finance analytics.