Quantitative Risk Modeler

BRMiWinchester, VA
$100,000 - $120,000Hybrid

About The Position

BRMi is seeking a Quantitaive Risk Modeler with at least 10 years of experience or doctorate degree in mathmatics, statistics or physics to support a large financial services client in a hybrid work environment in either of the following locations: Vienna VA, Winchester VA or Pensacola FL. Hybrid in Vienna, VA; Pensacola, FL; or Winchester, VA 3 days per week. Click here to learn about BRMi's culture. Click here to see BRMi’s Glassdoor reviews

Requirements

  • 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

Nice To Haves

  • 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.

Responsibilities

  • Developing and testing models: They create and test models to predict potential financial losses and optimize portfolios.
  • Analyzing large datasets: They leverage statistical techniques and machine learning algorithms to identify risk factors and stress test portfolio exposures.
  • Collaborating with teams: They work closely with risk managers, compliance teams, and other data professionals to ensure models meet regulatory requirements and support strategic decision-making.
  • Ensuring compliance: They ensure that their models comply with regulatory frameworks such as Basel III and IFRS 9.
  • Providing insights: They offer quantitative information and models necessary for risk assessment and mitigation to management and stakeholders.
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