Compliance Applied AI/ML Lead VP
Core
Lead VP role defining business problems and building scalable, deployable AI/ML models and analytical methods for technology-managed systems and self-service business applications within a highly regulated compliance environment.
Role type
VP-level Applied AI/ML Lead
Builds
Production-grade AI/ML models, agentic solutions, and data pipelines for risk management and compliance use cases.
Domain
Financial Services / Compliance / Regulatory Risk / Applied Machine Learning
Deliverable
production ML models
Required skills
Python, R, Scala, Machine Learning theory, Statistical modeling, Graph-learning (NetworkX, Torch-Geometric, Graphframes, Graphistry), LLM prompt engineering, Open-source LLM fine-tuning, Agentic AI development, Cloud architecture (AWS, GCP, Azure), Data pipeline operationalization, Large dataset consolidation, Quantitative analysis methodology, Technical documentation for model risk governance
Preferred skills
C/C++/C#, Postgraduate degree (Masters/PhD), Natural Language Processing (NLP), Agile SDLC, ModelOps, Design Thinking, Financial services domain expertise, Process controls and governance experience
Technologies
AWS, Azure, GCP, Databricks, NetworkX, Torch-Geometric, Graphframes, Graphistry, Pandas, Scikit-Learn, XGBoost, CatBoost, LightGBM, AutoML, Optuna, Hyperopt, Matplotlib, Seaborn, Geopandas, C#, C++, C
Responsibilities
Analyze complex unstructured data to define business problems and use cases; Assess business requirements and design appropriate methodologies; Build scalable, effective, and deployable models and analytical methods; Collaborate with data scientists, technology partners, risk professionals, and model validation teams; Prepare technical documentation for quantitative models to support internal model risk and governance review; Devise and develop proofs of concept and deployable models using AI/ML and statistical methods; Extract, integrate, and transform large structured and unstructured datasets into analysis-ready pipelines; Independently define methodologies and tackle quantitative work derived from business challenges
Seniority
VP, Strategy & Mentorship with hands-on IC execution
