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

Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.

Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations

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.

• 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)

• 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

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

• Go
• TypeScript / Node.js

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