Academic Content Developer – AI, Fraud Detection, Financial Systems

Job not on LinkedIn

🔥 2 minutes ago

🌐 Colombia, Argentina, +4 more countries – Remote

🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote 🇧🇷 Brazil – Remote 🇲🇽 Mexico – Remote 🇵🇪 Peru – Remote 🇧🇴 Bolivia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jalasoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• Design module content for the FinTech Engineering Specialization at Jala University • Develop labs • Create a reference implementation • Build an evaluation harness • Prepare an instructor guide

🎯 Requirements

• 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 • 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)

🏖️ Benefits

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