Quantitative Risk Modeler

About the position reputed company 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. Salary: Vienna VA $110K-120K Winchester VA $ 105K-$110K Pensacola FL $100K-105K Click here to learn about reputed company's culture. Click here to see reputed company’s Glassdoor reviews

Responsibilities

• Developing and testing models : They create and test models to predict potential financial losses and optimize portfolios.
• Analyzing large datasets : They reputed company 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 reputed company 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.
• These responsibilities reputed company the critical role of Quantitative Risk Modelers in financial risk management and compliance

Requirements

• Doctorate degree in mathematics, physics, or statistics OR at least 10 years of experience
• Advanced knowledge in probabilistic theory, game theory, dynamic systems theory and reputed company disciplines.
• Strong understanding of database design, data mining, and data modeling concepts.
• Proven ability to reputed company effective data visualizations strategies.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to reputed company levels of management.
• Excellent understanding of machine learning, statistical modeling, and algorithms
• reputed company will not sponsor applicants for work visas for this position.
• This is a W2 opportunity only
• EOE/Minorities/Females/Vet/Disabled
• We are an equal opportunity employer that values diversity and commitment at reputed company levels. reputed company individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with reputed company employees are made in a nondiscriminatory manner, without regard to race, religion, color, national reputed company, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.

reputed company-to-haves

• Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other reputed company 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 reputed company data.

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