Quantitative Risk Modeler / Data Scientist

Job Description:

10+ years experience and/or doctorate degree required

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.