Academic Content Developer – AI, Fraud Detection, Financial Systems

Posted 1hrs ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Academic content developer creating FinTech fraud-detection curriculum for Jala University. Designing modules, labs, reference implementations, evaluation harnesses, and instructor guides.

Responsibilities:

  • 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