What are the responsibilities and job description for the Quantitative Risk Modeler position at Seneca Resources?
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 : $63.00/hr on W2 or $71/hr on C2C
Vienna Pay:$70/hr on W2 or $77/hr on C2C
Role Summary
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
Core Responsibilities (implied)
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
Required Qualifications
Very high bar:
- PhD in Mathematics, Physics, or Statistics (or equivalent deep experience)
- 10 years of experience
Strong theoretical background in:
- Probabilistic theory
- Dynamic systems
- Statistical modeling
- Machine learning algorithms
Technical Skills
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
Advanced / Niche Expertise
This is what makes the role elite-level:
- Game Theory (important!)
- Bayesian games
- Nash equilibrium
- Algorithmic game theory
- Cybersecurity knowledge:
- Security frameworks
- Risk analytics
Soft Skills
They emphasize:
- Communication with both technical & non-technical stakeholders
- Presentation skills (likely reporting to leadership)
- Ability to simplify complex models into actionable insights.
Salary : $2 - $72