Competitive compensation; bonus tied to algorithm ...
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3+ years systematic trading experience
Fluent python programming skills
Strong machine learning interest
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Trexquant Investment LP is seeking an experienced Quantitative Researcher to develop machine learning strategies for predicting market movements. Candidates should possess a strong STEM background, relevant experience in systematic trading, and proficiency in programming languages like Python.
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Job Summary
The role involves designing and optimizing machine learning models to predict liquid asset movements using vast financial datasets.
Candidates will collaborate with experienced researchers to backtest hypotheses and refine systematic trading strategies.
Compensation includes competitive base pay with bonuses tied directly to the performance of developed algorithms.
Matching Summary
Match Score: 75
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Trexquant Investment LP is seeking an experienced Quantitative Researcher to develop machine learning strategies for predicting market movements. Candidates should possess a strong STEM background, relevant experience in systematic trading, and proficiency in programming languages like Python.
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Salary
Competitive compensation; Bonus tied to algorithm performance; Comprehensive healthcare and insurance benefits