Senior Software Engineer

Job Summary:Close collaboration with Quantitative Researchers and Portfolio Managers.Integrating new datasets.Deploying new trading signals.Creating portfolio optimization tools.Constructing data visualization frameworks.Refining our research platform.Optimizing existing code through effective numerical algorithms and cluster-computing approaches.Qualifications:5-7 years of professional experience in software engineering, with a preference for a focus on quantitative applicationsAdvanced proficiency in Python and Pandas, along with competency in associated scientific libraries like NumPy, SciPy, statsmodels, and scikit-learnTrack record in developing mission-critical production systems, with expertise in testing, monitoring, and deployment best practicesStrong familiarity with Linux platforms and a solid grasp of Git fundamentalsWorking familiarity with one or more pertinent database technologies, such as MS SQL, Postgres, or MongoDBDemonstrated capability in handling large datasets, encompassing both structured and unstructured formats

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