Data Engineer

April 5

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Personal Finance and Wealth Management platform

Fintech • Personal Finance • Wealth Managment • Gamification • Data Analytics

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Description

• Work closely with quantitative researchers to understand their data requirements, provide technical solutions, and integrate data engineering processes effectively with quantitative strategies • Design, develop, and optimize robust data pipelines, enabling ETL processes that support quantitative research, analysis, alpha forecasting, and execution • Implement rigorous data quality assurance measures to ensure the accuracy, reliability, and consistency of data inputs and outputs • Evaluate, select, and manage the appropriate data engineering tools, technologies, and infrastructure, with a focus on scalability and automation • Collaborate with compliance and risk management teams to ensure data privacy, security, and regulatory compliance standards are adhered to • Effectively communicate complex technical concepts to non-technical stakeholders, enabling them to understand the value and impact of specific data engineering initiatives

Requirements

• 3+ years experience in data engineering. Previous experience at a quantitative hedge fund is highly desirable • Master's or Ph.D. in Computer Science, Engineering, Data Science, or a related field • Proficiency in programming languages such as Python and C++, along with experience in big data technologies. Strong knowledge of SQL and relational databases • Demonstrated expertise in designing and optimizing data pipelines, data modeling, ETL processes, data warehousing, and data governance • Proven ability to collaborate effectively with quantitative researchers and other stakeholders, translating their requirements into technical solutions • Strong analytical and problem-solving skills, capable of analyzing complex datasets, identifying patterns, and extracting meaningful insights • Thrive in a fast-paced and dynamic environment, adaptable to changing priorities and emerging technologies • Strong verbal and written communication skills

Benefits

• Ability to travel between offices in NYC, London, and Zug, Switzerland