Machine Learning, Vice President
Core
Lead the design, development, and delivery of end-to-end machine learning solutions to address strategic business opportunities in Wealth Management, delivering measurable business outcomes.
Role type
VP of Machine Learning (Strategy & Analytics)
Builds
Production ML solutions for 20M+ Wealth Management clients across Advisor-led, Workplace, and Self-directed channels.
Domain
Financial Services / Wealth Management / Applied AI
Deliverable
production ML models
Required skills
Strategic leadership, end-to-end ML solution design, advanced statistical and ML methods (classification, regression, recommender systems, deep learning), large-scale data analysis, experimental design (A/B testing), model validation and governance, MLOps collaboration, cross-functional stakeholder management, executive communication, mentoring.
Preferred skills
Generative AI and LLMs expertise, Graphical Neural Networks, Reinforcement Learning, peer-reviewed publication record.
Technologies
Python, SQL, R, AWS, Azure, Google Cloud, GitHub, Bitbucket, MLflow, PyTorch, TensorFlow.
Responsibilities
Lead design and delivery of ML solutions for strategic business opportunities; Build modeling solutions at speed and scale; Investigate and create experimental prototypes; Analyze large, complex data sets to reveal patterns; Deploy and monitor ML models in production; Conduct large-scale experiments and A/B tests; Mentor junior data scientists; Create executive-ready presentations and analytical narratives.
Seniority
Executive (VP), hands-on IC with leadership acumen
