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.
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.

Work arrangement
No