Progspectra
Quantitative Risk Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Risk Modeler in the banking industry, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include advanced Python, SQL, and expertise in probabilistic theory and game theory. A PhD in Mathematics, Physics, or Statistics is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 8, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Tampa, FL
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🧠 - Skills detailed
#Mathematics #Data Mining #Statistics #Database Design #Plotly #SQL (Structured Query Language) #Security #ML (Machine Learning) #Visualization #Jupyter #Datasets #Cybersecurity #Python
Role description
Progspectra is seeking a Senior Quantitative Risk Modeler for one our esteemed clients in the banking industry.
Key Responsibilities
• Modeling: Implementation of 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 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.
If job posting says paused or closed, send resume to hr@progspectra.com
Progspectra is seeking a Senior Quantitative Risk Modeler for one our esteemed clients in the banking industry.
Key Responsibilities
• Modeling: Implementation of 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 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.
If job posting says paused or closed, send resume to hr@progspectra.com
