Data Scientist Lead
Core
Lead data science strategy and credit risk analytics for a commercial bank lending portfolio, utilizing Generative AI and advanced modeling to monitor middle market companies and commercial real estate investors.
Role type
Senior IC data scientist lead (credit risk & analytics)
Builds
Production credit risk models, executive management reporting dashboards, and data workflow automation solutions.
Domain
Financial services / Credit risk analytics / Generative AI
Required skills
Statistical modeling (time-series, multivariate regression), credit risk modeling, client behavior classification and scoring, data pattern correlation, SAS/R/Python statistical modeling, data project management, executive presentation, data workflow automation (SAS/Alteryx), SQL querying (Oracle/Teradata/Redshift), Generative AI integration (LLM training, prompt engineering), technical specification authoring, regulatory compliance implementation, Agile SDLC.
Preferred skills
Experience with Atlassian tools (Jira/Confluence), white paper authoring, mentoring data science teams.
Technologies
AWS Redshift, Alteryx, Jira, Confluence, Oracle, Python, Qlik, SAS, SQL, Tableau, LLM APIs
Responsibilities
Drive comprehensive analytics strategy for commercial bank lending portfolio; advance next-generation data science capabilities using Generative AI; act as functional manager and SME on credit analytics; partner with senior stakeholders on portfolio monitoring needs; define requirements for risk strategy analytics; lead end-to-end analytics initiatives including monthly executive reporting; translate analytical findings into business recommendations; mentor data science team; oversee quality control for analytics products.
Seniority
Senior, hands-on IC with management responsibilities