Academic Content Developer - AI & Fraud Detection in Financial Systems (FinTech)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-01). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Colombia, Argentina, Brazil, Mexico, Peru, Bolivia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $90k–102k/yr
Middle 50% of 9 listings that do state pay — Engineering · all levels · Colombia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11h ago · last seen 1h ago
The listing
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.