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Jobs(38,923)/Quantitative Researcher Role(54)/dourolabs.xyz (5) - Quantitative Researcher
dourolabs.xyz

dourolabs.xyz - Quantitative Researcher

Remote - Europe1mo ago
RemoteSeniorEMEACryptocurrencyQuantitative ResearcherSQLPython

Requirements

• 5+ years of professional experience in quantitative research, financial engineering, or related quantitative roles • Expert-level proficiency in Python and SQL • Deep, practical knowledge of market data systems,and reference data architecture • Proven experience designing and deploying pricing methodologies for financial assets • Experience with liquidity measurement, market impact analysis, or similar quantitative market microstructure work • Strong grasp of how institutional clients evaluate and adopt new data infrastructure • Demonstrated ability to solve non-trivial problems with minimal guidance • Ability to communicate advanced quantitative concepts with clarity to audiences ranging from engineers to C-suite executives • Background at quantitative trading firms, hedge funds, or proprietary trading desks • Experience with decentralized finance (DeFi) or next-generation financial infrastructure • Prior work at market data providers or exchanges • Exposure to Index design and maintenance • Do you think you can own the quantitative architecture of institutional market infrastructure? We'd love to meet you.

Responsibilities

• Design and develop data methodologies that synthesize multiple sources into defensible market signals. • Develop a deep understanding of available datasets, their limitations, and optimal use cases. • Implement data signals with direct impact on revenue and institutional adoption. • Leverage advanced proficiency in Python, SQL, and statistical programming to move from exploratory analysis to production systems. • Demonstrate mastery in time-series analysis, pattern recognition, and large-scale data problems. • Apply expertise in asset pricing, liquidity measurement, and market data systems. • Serve as the subject matter expert representing quantitative products to institutional clients. • Translate sophisticated financial engineering concepts into clear, logical explanations for non-technical audiences. • Relay market feedback from institutional partners back to product and engineering teams.

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