Lead Quantitative Analytics Associate II - Business Banking & Consumer Analytics
Core
Develop and validate predictive and machine-learning models for business banking needs using statistics and advanced mathematical techniques.
Role type
Lead Quantitative Analytics Associate
Builds
Predictive and prescriptive models for Account Management, Origination Scorecard, and Macroeconomic Forecast
Domain
Banking / Financial Services / Quantitative Analytics
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Python, SQL, Linear Regression, Logistic Regression, XGBoost, LightGBM, Random Forest, Git, Cloud-based computing, Distributed computing, Model Risk Management
Preferred skills
Agentic AI (LLM, MCP, RAG), Advanced modeling techniques, Code controls, Unit testing
Technologies
Python, SQL, Git, Microsoft Office Suite, XGBoost, LightGBM, Random Forest
Responsibilities
Develop, monitor, maintain, and implement models addressing business needs; Assess and challenge data preparation practices; Identify and articulate observations based on structured assessment; Evaluate appropriateness of analytical methods; Produce and identify information through statistical analysis
Seniority
Mid-level, some self-direction with supervision
