Lead Machine Learning Engineer - Western Cape, Cape Town
Core
Designing real-time monitoring solutions, building and deploying ML models for fraud detection and risk management, and creating analytical frameworks to support regulatory compliance and operational decision-making.
Role type
Lead Machine Learning Engineer
Builds
Real-time monitoring systems, fraud/risk models, compliance frameworks, and operational dashboards
Domain
Financial services / Risk management / Compliance
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, cloud data platforms, business intelligence, visualisation, data warehousing, storage, analytics, reporting
Preferred skills
MLOps, fraud analytics, risk modelling, large language models, open-source technologies
Responsibilities
Design real-time monitoring and visibility solutions; Build and deploy machine learning models to identify suspicious behaviour; Develop analytical frameworks for detecting unusual activity; Create risk assessment models using traditional and alternative data; Enhance customer due diligence through automated modelling; Develop workforce planning and retention models; Investigate customer journey friction points; Identify operational bottlenecks; Evaluate emerging AI technologies; Create intuitive dashboards for non-technical stakeholders
