University Graduate
Core
Develop and validate AI and machine learning models for client experience and operational efficiency in wealth management.
Role type
Graduate AI/ML Engineer (Wealth Management)
Builds
Production-ready AI/ML solutions for client personalization and operational efficiency
Domain
Financial Services / Wealth Management / AI & Data Science
Deliverable
production ML models
Required skills
Natural language processing, predictive analytics, model deployment, data pipeline construction, model risk management, regulatory compliance, explainability
Preferred skills
Financial industry experience, knowledge of banking products, global mindset
Technologies
Modern data infrastructure, analytics pipelines
Responsibilities
Analyze financial datasets, visualize and interpret model outputs, improve model performance and fairness, participate in deployment and monitoring of ML solutions, support model risk management through documentation and testing, collaborate with ML engineers and business stakeholders
Seniority
Graduate (Entry-level)
