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Provide financial data for systematic quantitative trading systems
Ensure the day-to-day data quality
Build high performance APIs on large data sets
Provide support to quantitative researchers developing trading models
Communicate with data providers to integrate the best available products
Propose new data sources for trading models
University degree in Computer Science or related field with approx. 5 years relevant experience
Solid Python skills and experience with Pandas or similar library (R, Matlab, etc.) essential
Excellent data science and software engineering experience, strong SQL knowledge and statistics for data sanity analysis
Experience with data used to build financial models is a plus: fundamentals, estimates, short interests, fund holdings, insiders, economic indicators, etc.
Detailed understanding of financial instruments (equities, derivatives, FX forwards, Futures, IRS etc.)
Machine learning knowledge and experience will also be a bonus
Fluent English speaker with demonstrable team player capabilities
Xpand your job search in the right direction by applying via the links provided. If you have any difficulties doing so, you may also call Philip on +852 3579 4656 or email to firstname.lastname@example.org #LI-PQ1