Quantitative Risk Modeler

Quantitative Risk Modeler

Location: Vienna, VA, Winchester, VA, or Pensacola, FL.

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.

• 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

• 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 Power
  
  BI and Plotly
• Experience working with Cybersecurity Frameworks and related data

If you meet these qualifications and are interested in this opportunity, we encourage you to apply.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.

We are committed to employing only candidates who are legally authorized to work in the United States. For compliance with the Immigration Reform and Control Act of 1986, all new employees must complete the Employment Eligibility Verification Form I-9 and provide documentation establishing identity and authorization to work. E-Verify will be used for employment verification as part of the onboarding process.

We value integrity throughout our hiring process. Candidates will be asked to provide documentation confirming employment history, education, and work authorization.