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Jalasoft

Academic Content Developer – AI, Fraud Detection, Financial Systems

Jalasoft

. Design module content for the FinTech Engineering Specialization at Jala University .

Posted 10/2/2026full-timeRemote • Colombia, Argentina, Brazil, Mexico, Peru, BoliviaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing educational content for FinTech, with a strong focus on real-time fraud detection and risk management. Proficient in software engineering practices, including reproducibility and integration of machine learning models within financial services.

Highest-signal resume keywords
GoTypeScript / Node.jsReal-Time Fraud PipelinesIntegration With Fraud ProvidersKYC/AML Compliance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringFraud DetectionMachine Learning IntegrationFeature EngineeringReproducibility Discipline
Soft Skills
Professional Written EnglishTechnical Writing
Tools & Technologies
ContainersFeature StoresCybersourceClearSaleFingerprintSeon
Industry Keywords
FinTechPaymentsFinancial ServicesTreasury ReconciliationCOAF ReportingUIF Reporting

Tech Stack

Tools & technologies
JavaScriptNode.jsTypeScriptGo

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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