Explainable Risk Modeling Engineer

3gimbals; Quantico (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

3gimbals in Quantico seeks a Risk Modeler to design, validate, and operationalize analytic models quantifying risk for mission analysts and decision-makers. You will build statistical, ML, and scoring models from multi-source data and graph relationships, emphasizing explainability and uncertainty.

Proficiency in Python and ML frameworks is essential, with a focus on production-ready implementations and clear documentation for stakeholders.

Qualifications

• 4+ years developing quantitative, statistical, or ML models.
• Strong Python and scientific stack: NumPy, pandas, scikit-learn.
• Solid foundation in statistics, probability, and quantitative methods.
• Experience with ML frameworks and model validation/back-testing.
• Ability to work with large, multi-source datasets.

Responsibilities

• Design and develop statistical, probabilistic, and ML risk models.
• Validate models for accuracy, robustness, bias, and stability.
• Operationalize models into production pipelines.
• Document model assumptions, methodology, and limitations.
• Support ATO processes and model governance.

Skills

Quantitative modeling

Python programming

Statistics

Machine learning

Explainability

Data analysis

Stakeholder communication

Education

Advanced degree in a quantitative field

Tools

NumPy

pandas

scikit-learn

XGBoost

PyTorch

TensorFlow

SHAP

LIME

SQL

Docker

Kubernetes

Job description

3gimbals in Quantico seeks a Risk Modeler to design, validate, and operationalize analytic models quantifying risk for mission analysts and decision-makers. You will build statistical, ML, and scoring models from multi-source data and graph relationships, emphasizing explainability and uncertainty.

Proficiency in Python and ML frameworks is essential, with a focus on production-ready implementations and clear documentation for stakeholders.