Quantitative Risk Modeler

Job Title:

Quantitative Risk Modeler Location:

Hybrid, Vienna, VA Schedule:

Monday Friday, 40 hours/week

Duration:

6++ months with high possibility of extensions

Description:

Hybrid at HQ/GPO/Winchester 10+ years experience and/or doctorate degree required

Qualifications:

Doctorate degree in mathematics, physics, or statistics. Advanced knowledge in probabilistic theory, game theory, dynamic systems theory and related disciplines. Strong understanding of database design, data mining, and data modeling concepts. Proven ability to develop effective data visualizations strategies. Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Excellent understanding of machine learning, statistical modeling, and algorithms

Desired:

Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields. Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis. Experience working with data visualization applications like PowerBI and Plotly. Experience working with Cybersecurity Frameworks and related data. Hybrid Status Hybrid Alternate Job Title Quantitative Risk Modeler Contractor Experience Level 3 (10+ yrs)