Senior Quantitative Risk Modeler

Omiz Staffing Solutions (OSS)
Tysons Corner, VA

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.

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