Omiz Staffing Solutions (OSS)

Quantitative Risk Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Quantitative Risk Modeler in Tysons Corner, VA (Hybrid) for a 6+ month contract. Requires a doctorate in mathematics, physics, or statistics, advanced skills in SQL, Python, and data visualization, plus experience in machine learning and cybersecurity frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 16, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Tysons Corner, VA
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🧠 - Skills detailed
#ML (Machine Learning) #Data Modeling #Cybersecurity #Visual Studio #Mathematics #Plotly #Python #Jupyter #Security #Visualization #Statistics #Database Design #Data Mining #SQL (Structured Query Language)
Role description
Title: Quantitative Risk Modeler Location: Tysons Corner, VA (Hybrid) Duration: 06+ Months Contract with highly possible extension Job description: Qualifications: • Doctorate degree in mathematics, physics, or statistics. • 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 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.