Senior Credit Analytics & Data Strategy Lead

Jeeves; Bogotá ciudad; Remote; COP 194,194,000 - 291,290,000; Full time

Job summary

Jeeves is seeking a hands-on Senior Business Analyst to own data foundation for credit decisions across Latin America and beyond. You’ll connect external data (bureau, banking, open finance) and clean up consents, turning manual processes into repeatable SQL/Python workflows.

Your work will shape underwriting criteria, credit limits and early‑warning signals to catch losses early. You will partner with data science, engineering, product, and finance to build dashboards and automated data

Qualifications

• 3–7 years of analytics experience in credit risk or related fields.
• Hands-on SQL with large, messy datasets and data quality validation.
• Proficient Python for analysis and statistical modeling.
• Experience with external data sources (bureau, banking, open finance, tax).
• Strong written and verbal English communication; independent work style.

Responsibilities

• Lead integration and validation of external data sources with engineering.
• Clean up customer data consents and connections for reliable pulls.
• Replace manual credit workflows with repeatable SQL/Python processes.
• Define data quality checks and documentation for trustable insights.
• Develop underwriting criteria and credit limit strategies using internal/external data.
• Design customer management strategies and early‑warning monitoring.
• Build dashboards to track portfolio health and performance.
• Apply statistical methods to uncover risk drivers and inform policy.
• Collaborate with AI tools and verify outputs against source data.

Skills

Advanced SQL

Python for analysis

External data sources

Data quality checks

Data cleansing

Independence & ownership

English communication

AI tooling usage

Tools

GitHub

Tableau

Claude Visualization Tools

Job description

Jeeves is seeking a hands-on Senior Business Analyst to own data foundation for credit decisions across Latin America and beyond. You’ll connect external data (bureau, banking, open finance) and clean up consents, turning manual processes into repeatable SQL/Python workflows.

Your work will shape underwriting criteria, credit limits and early‑warning signals to catch losses early. You will partner with data science, engineering, product, and finance to build dashboards and automated data