Quantitative Risk Modeler

Title
:
Quantitative Risk Modeler

Location
:
Vienna, VA OR Winchester, VA OR Pensacola, FL

Job Type
:
Contract (extensions expected)

Years of Experience
: 10+ years and/or doctorate degree required

Pay Rate Pensacola Pay: $60/hr on W2 or $72/hr on C2C
Winchester Pay: $63/hr on W2 or $71/hr on C2C
Vienna Pay: $70/hr on W2 or $77/hr on C2C

This is a senior-level (10+ years / PhD) position focused on quantitative modeling for cybersecurity risk. It blends:

• Advanced mathematics & statistics
• Machine learning & probabilistic modeling
• Cybersecurity analytics
• Data engineering + visualization

Although not explicitly listed, based on the requirements, you’d likely:

• Build risk models using probability, statistics, and ML
• Apply game theory to simulate attacker vs defender scenarios
• Analyze large datasets (cyber/security data)
• Design data pipelines and models
  
  Create dashboards and visualizations for leadership
• Translate complex technical insights into business decisions

Very high bar:

• PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
• 10+ years of experience

• Probabilistic theory
• Dynamic systems
• Statistical modeling
• Machine learning algorithms

You’re expected to be very strong in:

• Programming: Python, SQL
• Tools: Jupyter Notebook / VS Code
• Data concepts:
  • Data modeling
  • Data mining
  • Database design
• Visualization:
  • Strategy + tools like Power BI, Plotly

This is what makes the role elite-level:

• Game Theory (important!)
  • Bayesian games
  • Nash equilibrium
  • Algorithmic game theory
• Cybersecurity knowledge
  • Security frameworks
  • Risk analytics

They emphasize:

• Communication with both technical & non-technical stakeholders
• Presentation skills (likely reporting to leadership)
• Ability to simplify complex models into actionable insights.

We are an Equal Opportunity Employer and value the benefits of diversity in our workplace.