Academic Content Developer - AI & Fraud Detection in Financial Systems (FinTech)
Jalasoft Open · verified Oct 24, 2026 At a glance
Mid-level Content Creation role at Jalasoft. Remote, Colombia.
Pay not stated Content Creation salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build learning modules, hands-on labs, a working reference implementation, an evaluation harness and an instructor guide
- Teach engineers to build low-latency fraud systems that combine streaming, rules and machine learning
- Cover fraud-provider integrations, feature engineering and feature stores from an implementation perspective
- Develop material on KYC/AML checks, sanctions and PEP screening, local reporting, and treasury reconciliation
What you bring
- You have at least five years as a software engineer and three or more in fintech, payments or financial services
- You have worked on fraud or risk at a large-scale fintech, such as Nubank, Mercado Pago or Rappi
- You can show published-quality technical writing, such as documentation, workshop materials, a book chapter or a documented open-source project
- You write professionally in English and make technical work reproducible through pinned dependencies, containers and documented run settings
Who this fits
This mid-level content role suits a software engineer with hands-on fintech fraud or risk experience who can turn technical systems into rigorous teaching materials. It is remote and based in Colombia.
From the employer
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.
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