Quantitative Risk Modeler
CC Pace Systems•Vienna, VA
•Hybrid
About The Position
Our client is seeking an experienced Quantitative Risk Modeler to join our team. This hybrid position offers the opportunity to work on complex analytical challenges using advanced mathematical and statistical methodologies.
Requirements
- Doctorate degree in mathematics, physics, or statistics
- 10+ years of relevant professional experience
- Advanced knowledge in probabilistic theory, game theory, and dynamic systems theory
- Strong understanding of database design, data mining, and data modeling concepts
- Proven ability to develop effective data visualization strategies
- Excellent understanding of machine learning, statistical modeling, and algorithms
- Advanced verbal, written, interpersonal, and presentation skills to communicate technical and non-technical information to all levels of management
Nice To Haves
- Advanced knowledge of algorithmic, Bayesian, Nash, and related game theory subfields
- Advanced proficiency with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code, or other languages/frameworks appropriate for statistical analysis
- Experience with data visualization applications such as PowerBI and Plotly
- Experience working with Cybersecurity Frameworks and related data
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
