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
ML solutions for internal stakeholders across client channels (Advisor-led, Workplace, Self-directed) and Product organizations (Investment Solutions, Bank) to serve 20M+ WM clients.
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, large-scale data analysis, experimental design (A/B testing), model validation and governance, cross-functional partnership building, executive communication, team mentorship
Preferred skills
Generative AI/LLM expertise, Graphical Neural Networks, Reinforcement Learning, peer-reviewed publication record
Technologies
SQL, Python, R, AWS/Azure/Google Cloud, GitHub/Bitbucket, MLflow, PyTorch, TensorFlow
Responsibilities
Lead design and delivery of ML solutions; leverage AI/ML for growth plan use cases; build modeling solutions at speed and scale; investigate and create experimental prototypes; analyze complex datasets to reveal patterns; develop and experiment with state-of-the-art algorithms; support and enhance existing models; set up and conduct large-scale experiments; validate ML models for accuracy and compliance; deploy models in production and monitor performance; lead code and modeling reviews; build partnerships with business stakeholders; create executive-ready presentations; mentor junior data scientists
Seniority
Executive (VP), hands-on IC with leadership acumen
