Lead Data Scientist (Hybrid)
Core
Lead validation of credit risk models and provide technical guidance to ensure model fit for purpose and soundness for lending criteria determination.
Role type
Lead Data Scientist (Model Validation)
Builds
Credit risk models and validation reports for lending decisions
Domain
Financial services / Credit risk
Deliverable
production ML models
Required skills
Credit risk modeling, statistical modeling, Python programming, SQL, model validation, technical documentation, stakeholder communication
Preferred skills
Leading complex analytical projects, ad hoc analysis, risk management strategy, machine learning
Technologies
Python, SQL
Responsibilities
Lead and perform model validation of credit risk models, Prepare model validation reports and write technical documentation, Provide technical guidance and mentorship to team members, Interact with model stakeholders to gather information and provide challenge, Support model releases to production, Monitor model performance dashboards and build alerts, Drive improvements to model validation methodologies and automation
Seniority
Senior, hands-on IC with mentorship responsibilities
