BAMM Staffing
Data Modeler
Charlotte, North Carolina, USA · full-time
Sponsorship not specifiedDetected 65 days ago
PythonSQLMachine LearningData ScienceStatisticsUEBACommunicationCollaborationRisk Modeling
About the role
- The Data Scientist / Data Modeler / Quantitative Analyst will play a critical role in advancing the Insider Risk program's detection, scoring, and decisioning capabilities.
Requirements
- 1) Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline.
- 2) 5+ years of experience in data science, quantitative analysis, or risk modeling, preferably in financial services or regulated industries.
Skills
- 4) Proficiency in Python and/or R, with experience in SQL for largescale data analysis.
- 5) Handson experience working with complex enterprise datasets and translating analytics into business decisions.
- 6) Strong communication skills with the ability to explain complex analytical concepts to nontechnical stakeholders.
- 7) Experience supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, or Threat Analytics programs.
- 8) Familiarity with identity and access data, endpoint telemetry, DLP, email, or collaboration monitoring.
- 9) Experience with model explainability, governance, and validation in regulated environments.
- 10) Knowledge of employee lifecycle risk, behavioral analytics, or humancentric risk modeling.
- This individual will be adept at ML, AI and best practices around the new tools in the marketplace.
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This listing is sourced directly from BAMM Staffing's careers page and normalized into a canonical job model.