Job Responsibilities:
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Perform quantitative research using multi-frequency market data to provide accurate prediction of asset price movements and build profitable trading models.
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Perform large-scale tick-by-tick analysis on high frequency financial data.
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Extract signals with strong predicting powers from trade data and quote data; build robust models to combine signals into profitable trading strategies.
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Deploy research models into production trading framework with low tick-to-trade latency.
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Monitor live trading models performance and conduct model tuning to keep the live trading strategy optimal.
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Study the latest academic paper and research reports on topics including market micro-structure, quantitative portfolio management, asset pricing factors and machine learning; apply knowledge into alpha and strategy research and present the results.
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Collaborate with team members in developing quantitative research platform to process structured data from multiple sources and verify research ideas.
Qualifications:
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Master’s degree in Mathematical Finance, Financial Engineering, or closely related field of study.
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Plus 6 months of experience in performing data analysis on financial market data; and designing models to forecast asset.
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Knowledge of mathematics and statistics.
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Skills and tools used for machine learning, optimization, and statistical modeling.
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Proficient in Python and C++ programming.
Job Location: Jersey City, New Jersey
To Apply: Send resume to Scientech Research LLC at 30 Montgomery St, Suite 310, Jersey City, NJ 07302. Must refer to code #HZNJ2022.