We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Our mission has earned the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, Victory Park Capital, and more, who back our vision for the future.
Requirements
- Proven Technical Tenure in Data Scientist in Lending
- 3+ years of full-time technical experience specifically in Data Science for Credit Risk or Fraud
- Bachelor’s degree in a highly quantitative field (Mathematics, Statistics, Physics, Engineering, or Computer Science)
- Solid Proficiency in Modern Data Tooling
- Experienced in working with semi-structured data and using Git/GitHub for professional code reviews and collaborative development
- Track record of taking models from initial business definition through to "live" environment monitoring and iteration
- Proven ability to diagnose system failures and regressions in production environments
- Deep expertise in building supervised models for regression and classification specifically for Credit Scoring and Fraud Detection
- Strong Statistical & Experimental Foundations
- Ability to design and execute rigorous A/B tests and hypothesis testing to validate the business impact of risk strategies
- Demonstrates Ability to Build Full-Stack ML Pipelines
- Track Record of Innovative AI/LLM Research
Benefits
- Competitive compensation & meaningful ownership
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance