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Vantagens oferecidas por esta oferta de emprego
Competitive compensation package
Opportunity to work with cutting-edge blockchain technology
Collaborative environment with highly skilled team members
Resumo da oferta
A dynamic tech startup based in Portugal is seeking a Quantitative Trading Analyst to architect and enhance their risk management engine. The ideal candidate will combine expertise in Traditional Finance and DeFi, employing advanced mathematical models to ensure protocol solvency and facilitate high-leverage trading of real-world assets. You will thrive in a collaborative environment and work with cutting-edge blockchain technologies. A competitive compensation package is offered, alongside the opportunity to work remotely.
Qualificações
Advanced background in Mathematics, Statistics, or Financial Engineering.
Strong proficiency in Python including libraries like pandas, numpy, scipy.
Deep understanding of both Traditional Finance derivatives and DeFi primitives.
Responsabilidades
Architect and upgrade the risk management engine for the company's protocol.
Quantify protocol risk and ensure protocol solvency.
Optimize parameters for funding rates and ensure market balance.
Build stochastic simulations for protocol solvency testing.
Conhecimentos
Quantitative Fluency
Python proficiency
Dual-Domain Expertise in TradFi and DeFi
Risk Systems Experience
Market Microstructure knowledge
Formação académica
Advanced degree in Mathematics, Statistics, or Financial Engineering
Ferramentas
Pandas
Numpy
Scipy
Descrição da oferta de emprego
A dynamic tech startup based in Portugal is seeking a Quantitative Trading Analyst to architect and enhance their risk management engine. The ideal candidate will combine expertise in Traditional Finance and DeFi, employing advanced mathematical models to ensure protocol solvency and facilitate high-leverage trading of real-world assets. You will thrive in a collaborative environment and work with cutting-edge blockchain technologies. A competitive compensation package is offered, alongside the opportunity to work remotely.
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