2,465 Open roles
92 Companies
13 Posted today
Jobs / Betway Africa / Process Automation Engineer (AI/ML)
Posted 2026-06-27

Process Automation Engineer (AI/ML)

Description

Kick-start your career in the online gaming world and experience the very latest in technology and innovation. You’ll take ownership of work that gives us our competitive edge. This position requires trust and honesty as it has access to customers financial details, therefore a credit and criminal record check will be conducted. The qualifications identified herein are an inherent job requirement, therefore a qualification verification check will be done. By applying for this role, and supplying the necessary details, you hereby grant us permission to apply for these checks. This will be done in a confidential manner, and solely for the purposes of verification. Should you not hear from us within 2 weeks, please deem your application as unsuccessful. The perfect place to work, play and grow!

Responsibilities
  • Design and build automation solutions for bank reconciliation, payment processing, and exception management across multiple markets
  • Apply AI/ML techniques such as anomaly detection and classification models to improve automation accuracy and reduce manual intervention
  • Integrate automation tools with core banking systems via APIs
  • Analyse current-state processes and re-engineer workflows to enable scalable automation across a multi-market environment
  • Build and maintain RPA bots and custom scripts for data ingestion, transformation, and matching logic
  • Monitor automated processes in production, troubleshoot issues, and continuously optimise performance
  • Collaborate with Banking Operations and Product teams to translate business requirements into technical solutions
  • Maintain documentation, controls, and audit trails aligned to regulatory requirements
Requirements
  • 3–5+ years’ experience in process automation, RPA, or software engineering, ideally within banking or payments (required)
  • Strong SQL skills and experience working with APIs and structured/unstructured data (required)
  • Practical experience applying machine learning techniques (e.g. classification, anomaly detection) in real-world solutions (required)
  • Solid understanding of reconciliation processes, payment flows, or banking operations (required)
  • Experience in process mapping and re-engineering workflows (Lean/Six Sigma exposure advantageous) (preferred)
  • Strong analytical thinking and problem-solving capability (required)
  • Ability to work effectively across multiple markets and complex data environments (required)
  • Experience in multi-country African banking or payments environments (preferred)
  • Exposure to payment provider integrations (gateways, EFT, mobile money) (preferred)
  • Experience with ERP or finance system migrations (preferred)
  • Relevant degree in Finance, Computer Science, Engineering, or similar (or equivalent experience) (required)