Thurn Partners | ML Specialist - Quantitative ...

Company InsightOur client is a leading multi-strategy, systematic trading firm seeking PhD graduates and postdocs for an entry-level, ML-focused Quantitative Researcher role. They specialize in discovering repeatable returns through sophisticated insights and methodical research, applying advanced models and systems to navigate market complexities. With a focus on collaboration, innovation, and continuous learning, they offer a dynamic environment where you can grow professionally while contributing to cutting-edge trading strategies. They operate in major financial hubs around the world, including New York City and London.This job is based in New York City, NY. Please ensure that you meet all the required experience below. Otherwise, your application will not be considered.Your RoleIn this role, you will be:Analyzing and evaluating financial and alternative datasetsResearching existing and developing new techniques in machine learningResearching, developing and implementing quantitative trading signalsmodelsDeveloping and maintaining modeling infrastructureSupporting production trading operationsAbout YouPhD in Mathematics, Economics, Statistics, or a related STEM field from a top university is essentialAvailability to commence full-time employment upon graduation in 2025 is essentialExtensive experience within machine learning, time-series analysis and pattern recognition is essentialExcellent research, analytical, and modeling skillsProficiency in Python andor C++Your BenefitsDirect access to and guidance from senior quants from day 1Global networking opportunitiesA collaborative, innovative, academic approach to research alongside likeminded individualsPre-applicationPlease do not apply if you are looking for a contract or remote workYou must be eligible to live and work in the US, without requiring sponsorshipPlease ensure you meet the required experience section prior to applyingAllow 1-5 working days for a response to any job enquiryYour application is subject to our privacy policy, found here:

Created: 2025-01-16