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Experienced Quantitative Researcher

Flow Traders N.V. - Hong Kong

Posted Mar 4, 2022

Benefits

Parental leave
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Market context

Median wage (BLS OEWS)
$55,206 national median
Projected growth (BLS Employment Projections)
+5.5% - Faster than average

Matched to SOC 49-9071 - Trades aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

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About this role

Experienced Quantitative Researcher Hong Kong Flow Traders is looking for a Quantitative Researcher to join our growing trading team in Hong Kong. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. A successful candidate is curious and seeks to provide their quantitative expertise to our trading desks. The ideal candidate must be an expert in mathematics and statistics, have an affinity for numbers and have strong programming experience. You should have an innate desire to generate and backtest new trading ideas, with generation of alpha and automated strategies as ultimate output goals. If you have the passion to solve and code mathematical problems, while having a direct impact on the business, then this opportunity is for you. What you will do - Create new trading strategies by identifying opportunities in the market through extensive research and analysis - Collaborate with Traders and Quantitative Researchers to build, test and optimize current trading models - Research and analyze large financial datasets to find exploitable patterns - Design and implement complex quantitative models What you need to succeed - Minimum 3 years of work experience within the industry with prior experience working on mid to high frequency trading strategies - Bachelor's degree or higher in Econometrics, Mathematics, Physics, Statistics, Computer Science or other relevant STEM fields - Python programming knowledge is a must, experience with other scientific programming language (e.g. MATLAB, C++, JAVA, R or similar) is beneficial - Strong

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