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Job Description & How to Apply Below
What You'll Do
Conduct cutting-edge alpha and strategy research using state-of-the-art ML and statistical modeling techniques
Generate innovative alpha ideas and explore new datasets in a collaborative environment
Optimize portfolios and analyze trading performance
Collaborate with top-tier researchers and engineers, contributing to a high-performing team
Push research to production with immediate feedback on performance
Become a core contributor to our trading strategies and research platform
Qualifications
2+ years of experience in quantitative research within HFT/ MFT
Degree in Computer Science, Machine Learning, Statistics, Physics, Engineering, Applied Math, or related field (PhD a plus)
Proven research track record demonstrating innovation in your field
Experience in machine learning or statistical modeling is a strong plus
Proficiency in Python, Rust, C++, or other modern programming languages
Strong problem-solving skills and a relentless drive to succeed
Passion for continuous learning and growth
Collaborative mindset and ability to thrive in a high-performance team
Required Skills
['Python']
Additional Information
Required Key Skills :
Quant, HFT, MFT
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