Alexander Chapman
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Design, test, and deploy statistical arbitrage strategies across global equities, blending traditional quant rigor with modern ML techniques.
Develop predictive models using supervised, unsupervised, and deep learning methods to identify subtle, persistent sources of alpha.
Engineer and evaluate alternative datasets - from market microstructure signals to text-based or event-driven features - and transform them into robust trading insights.
Collaborate with data engineers to build scalable research pipelines, automate backtests, and maintain reproducible experimentation frameworks.
Work side by side with PMs to translate cutting-edge research into production-grade trading strategies.
Seniority level Mid-Senior level
Employment type Full-time
Job function Finance
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New York, United States .
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Design, test, and deploy statistical arbitrage strategies across global equities, blending traditional quant rigor with modern ML techniques.
Develop predictive models using supervised, unsupervised, and deep learning methods to identify subtle, persistent sources of alpha.
Engineer and evaluate alternative datasets - from market microstructure signals to text-based or event-driven features - and transform them into robust trading insights.
Collaborate with data engineers to build scalable research pipelines, automate backtests, and maintain reproducible experimentation frameworks.
Work side by side with PMs to translate cutting-edge research into production-grade trading strategies.
Seniority level Mid-Senior level
Employment type Full-time
Job function Finance
Referrals increase your chances of interviewing at Alexander Chapman by 2x.
Get notified about new Quantitative Researcher jobs in
New York, United States .
#J-18808-Ljbffr