Senior Quantitative Risk Modeler for one of our esteemed clients. This position is based in Pensacola, Florida, or Vienna, Virginia. If you have a suitable candidate, please share their profile.
MAX Rate is $60
Key Responsibilities
- Modeling: Implement Nash/Bayesian game theory and dynamic systems to predict risk.
- Machine Learning: Apply advanced ML and statistical algorithms to large-scale cyber datasets.
- Visualization: Build executive dashboards using PowerBI or Plotly.
- Governance: Align models with industry-standard Cybersecurity Frameworks.
Required Qualifications
- Education: PhD in Mathematics, Physics, or Statistics.
- Theory: Mastery of probabilistic theory, game theory, and dynamic systems.
- Technical: Advanced proficiency in Python, SQL, and Jupyter/VS Code.
- Communication: Ability to present technical findings to non-technical senior management.
Preferred Skills
- Experience with Cybersecurity Frameworks and telemetry data.
- Proficiency in algorithmic, Bayesian, or Nash game theory subfields.
- Expertise in data mining and complex database design.