Omiz Staffing Solutions (OSS)

Senior Quantitative Risk Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Quantitative Risk Modeler in Tysons Corner, VA (Hybrid) with a 6 to 7-month contract. Requires 10+ years in quantitative modeling, a PhD in a quantitative field, and expertise in statistical modeling and machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
688
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🗓️ - Date
April 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tysons Corner, VA
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🧠 - Skills detailed
#BI (Business Intelligence) #Python #Data Mining #Cybersecurity #Mathematics #Microsoft Power BI #Plotly #Leadership #Data Modeling #ML (Machine Learning) #Security #Jupyter #SQL (Structured Query Language) #Statistics #Strategy #Visualization
Role description
Quantitative Risk Modeler | Tysons Corner, VA (Hybrid) 🕒 Engagement: 6 to 7 Months Contract with Strong Extension Potential We are partnering with a leading financial institution to identify an accomplished Quantitative Risk Modeler to support enterprise-level risk strategy, advanced analytics, and predictive decision-making initiatives. This role is ideal for a highly credentialed professional with deep expertise in mathematical modeling, machine learning, and complex systems analysis. Key Responsibilities: ▪ Develop and enhance sophisticated quantitative models to assess risk, optimize decisions, and drive strategic outcomes ▪ Apply advanced statistical methods, probabilistic frameworks, and machine learning techniques to large-scale data sets ▪ Translate complex analytical findings into clear, actionable insights for senior leadership and cross-functional stakeholders ▪ Design impactful visualizations and dashboards that improve risk transparency and executive decision-making ▪ Collaborate across business, technology, and governance teams to strengthen enterprise risk capabilities Required Qualifications: ✔ 10+ years of relevant experience in quantitative modeling, analytics, or risk management and/or Doctorate degree ✔ PhD in Mathematics, Statistics, Physics, or related quantitative discipline ✔ Advanced expertise in: • Probabilistic Theory • Dynamic Systems Theory • Statistical Modeling • Machine Learning Algorithms • Data Mining & Data Modeling ✔ Exceptional executive communication and presentation skills Preferred Qualifications: ✔ Expertise in Game Theory disciplines including Bayesian, Nash, and Algorithmic models ✔ Strong hands-on experience with Python, SQL, Jupyter Notebook/JupyterLab, VS Code ✔ Experience with Power BI, Plotly, or modern visualization platforms ✔ Exposure to Cybersecurity Frameworks and related risk analytics Why This Opportunity Stands Out: This is a high-visibility opportunity to influence enterprise strategy within a respected organization where advanced analytics drives mission-critical decisions. Your work will directly shape risk intelligence, innovation, and operational resilience.