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Data Analyst - Hedge Fund

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Company
MW Recruitment Limited
Job location
London, UK
Salary
Undisclosed
Posted
Hosted by
Adzuna

Job details

A leading hedge fund wish to recruit a data analyst who will be responsible for back office pricing as well as time series data for trading/modelling/analysis whilst working closely with other departments within Management & Control to ensure the accuracy and best practices in security valuation, compliance and risk management. Main Responsibilities Contribute to the evaluation and enhancement of processes and technologies to improve data accuracy, timeliness, and efficiency. Engage regularly with users of financial data to identify, access, and query series of interest within internal databases, including a third-party tick database. These users include, but are not limited to, Trading, Global Research, Middle Office, Risk and Compliance. For new projects or data-related production changes determine detailed specifications and resource requirements and coordinate prioritization and approval with other groups. Test content for proper QA and review/approve for production release. When new data services are needed evaluate potential data sources and cost/resources. Collaborate with our offshore Data Operations team to oversee their processes, including cross-checking, verifying, and updating security and economic data. Serve as an escalation point for Level II requests from this team Experience Required A BA/BS degree with a strong academic background in STEM fields, ideally focusing on Data, Mathematics, Statistics, Data Analysis, or another quantitative discipline. Minimum of 2 years of experience in a similar role at an investment firm or a financial data-related role at another type of firm (auditor, data vendor, govt agency, or other), with a solid understanding of data quality management, data architecture, and business intelligence A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn. Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow. Good understanding of various asset classes such as Equities, Fixed Income, Derivatives, and Commodities
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