Quantitative Analyst - Market Risk
Our client, a prominent financial institution, is seeking a highly analytical and detail-oriented Quantitative Analyst specializing in Market Risk. This hybrid role, based in **Las Vegas, Nevada, US**, will involve developing and implementing sophisticated quantitative models to assess, measure, and manage market risk exposures across the firm's trading portfolios. You will play a key role in ensuring regulatory compliance and supporting strategic decision-making through rigorous risk analysis. This position demands a strong foundation in finance, mathematics, statistics, and programming, coupled with excellent communication skills to articulate complex findings to both technical and non-technical stakeholders. Key Responsibilities:
Develop, validate, and maintain quantitative models for market risk measurement, including VaR, Expected Shortfall, stress testing, and scenario analysis. Implement risk models using programming languages such as Python, R, or C++. Analyze trading portfolio exposures across various asset classes (equities, fixed income, derivatives, FX). Monitor risk limits and investigate breaches, escalating issues as necessary. Contribute to regulatory reporting requirements, including Basel III and Dodd-Frank. Collaborate with trading desks, portfolio managers, and technology teams to understand risk drivers and model implications. Perform ad-hoc quantitative analysis to support business initiatives and risk management decisions. Stay current with industry best practices, academic research, and regulatory developments in quantitative finance and risk management. Document methodologies, assumptions, and results thoroughly. Present findings and recommendations to senior management and risk committees. Qualifications:
Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science. Minimum of 5 years of experience in quantitative finance, risk management, or a related role within the financial services industry. Strong proficiency in programming languages (Python, R, C++) and experience with statistical and machine learning libraries. Solid understanding of financial markets, derivatives pricing, and risk management principles. Experience with market risk models (e.g., historical simulation, Monte Carlo, GARCH). Excellent analytical, problem-solving, and quantitative modeling skills. Strong communication and presentation skills, with the ability to explain complex concepts clearly. Familiarity with regulatory frameworks affecting financial institutions is a plus. Ability to work effectively both independently and as part of a hybrid team. Join our dynamic finance team in **Las Vegas, Nevada, US**, and contribute to robust risk management practices in a challenging and rewarding environment.
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Develop, validate, and maintain quantitative models for market risk measurement, including VaR, Expected Shortfall, stress testing, and scenario analysis. Implement risk models using programming languages such as Python, R, or C++. Analyze trading portfolio exposures across various asset classes (equities, fixed income, derivatives, FX). Monitor risk limits and investigate breaches, escalating issues as necessary. Contribute to regulatory reporting requirements, including Basel III and Dodd-Frank. Collaborate with trading desks, portfolio managers, and technology teams to understand risk drivers and model implications. Perform ad-hoc quantitative analysis to support business initiatives and risk management decisions. Stay current with industry best practices, academic research, and regulatory developments in quantitative finance and risk management. Document methodologies, assumptions, and results thoroughly. Present findings and recommendations to senior management and risk committees. Qualifications:
Master's or Ph.D. in a quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science. Minimum of 5 years of experience in quantitative finance, risk management, or a related role within the financial services industry. Strong proficiency in programming languages (Python, R, C++) and experience with statistical and machine learning libraries. Solid understanding of financial markets, derivatives pricing, and risk management principles. Experience with market risk models (e.g., historical simulation, Monte Carlo, GARCH). Excellent analytical, problem-solving, and quantitative modeling skills. Strong communication and presentation skills, with the ability to explain complex concepts clearly. Familiarity with regulatory frameworks affecting financial institutions is a plus. Ability to work effectively both independently and as part of a hybrid team. Join our dynamic finance team in **Las Vegas, Nevada, US**, and contribute to robust risk management practices in a challenging and rewarding environment.
Apply tot his job
Apply To this Job