SWI - Innovation Delivered
Quantitative Risk Modeler
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Risk Modeler with a contract length of "unknown" and a pay rate of "unknown," located in Vienna, VA/Pensacola, FL (Hybrid). Requires a doctorate in mathematics, physics, or statistics, and 10+ years of experience. Key skills include advanced knowledge of probabilistic theory, machine learning, SQL, Python, and data visualization applications.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 9, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Vienna, VA
-
π§ - Skills detailed
#Jupyter #Cybersecurity #ML (Machine Learning) #Security #SQL (Structured Query Language) #Python #Statistics #Plotly #Visualization #Database Design #Data Modeling #Data Mining #Visual Studio #Mathematics
Role description
Quantitative Risk Modeler
ο»ΏVienna, VA/Pensacola, FL (Hybrid)
Position Requirements:
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.
Qualifications:
Doctorate degree in mathematics, physics, or statistics.
Required:
10+ yearsβ experience and/or doctorate degree required.
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.
Quantitative Risk Modeler
ο»ΏVienna, VA/Pensacola, FL (Hybrid)
Position Requirements:
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.
Qualifications:
Doctorate degree in mathematics, physics, or statistics.
Required:
10+ yearsβ experience and/or doctorate degree required.
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.
