Academic Content Developer - AI & Fraud Detection in Financial Systems (FinTech)

We're looking for a content developers for Fintech Engineering Specialization at Jala University. You'll design module content, labs, a reference implementation, an evaluation harness, and an instructor guide.

Requirements

Mandatory

• Has worked on a fraud/risk team at a fintech operating at scale (Nubank, Mercado Pago, Rappi, or similar)
• Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard
• Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)
• Professional written English

Experience

• 5+ years as a software engineer
• 3+ years in FinTech, payments, or financial services

Tech stack

• Go
• TypeScript / Node.js

Key technical requirements

• Real-time fraud pipelines: streaming, rules + ML with latency SLAs
• Integration with fraud providers (Cybersource, ClearSale, Fingerprint, Seon)
• ML from the perspective of the engineer integrating models, including feature engineering
• Feature Stores
• KYC/AML, sanctions and PEP lists, COAF or UIF reporting
• Treasury reconciliation (proof of reserves)

Nice to have

• Master's Degree in Computer Science or related.
• Production experience with blockchain transaction monitoring / crypto AML
• Model explainability in regulated LatAm markets

Benefits

• Remote work modality (home office).
• Joining a dynamic and growing organization with international reach.