Quantitative Researcher – Globally Leading Quantitative StatArb Fund – Miami – TC up to MM USD

Job title: Quantitative Researcher.Salary: Up to $350,000 starting base + industry-leading guaranteed bonus and package.Location: Miami - Hybrid (Up to 3days onsite per week).Client: Globally leading Quantitative StatArb Proprietary Trading firm currently deploying strategies across north of ~1000 asset class-specific, investment products.Founded in 2022 by the former Head of Equities/advisor to the CEO previously at one of the world’s leading market-makers.Already outperforming all major rivals across the globe specifically in Crypto markets.Multi-disciplinary team of STEM-subject matter experts all who have complete exposure to the full research and trading lifecycle and are expected to develop and deploy strategies collaboratively.Currently home to one of the most elite and reputable research teams globally.Total headcount of ~40 across Miami and Singapore, with every hire having already accomplished some form of extraordinary achievement from Olympiad Medals, MCM Winners, Putnam Top100s, to ACM-ICPC and reputable Hackathon winners all prior to graduating University.Role:Following continued ongoing and stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities across both Miami and Singapore.Looking for Quantitative Researchers responsible for performing strategy research and alpha generation for crypto assets, using state-of-the-art, novel Machine Learning methods and statistical modelling techniques.Explore a multitude of large, noisy and complex data sets and develop novel quantitative models to generate alpha signals from the data.Work on portfolio construction and optimization related challenges as well as analysing strategy trade performance.Required skills:PhD in a STEM, Machine Learning or another highly quantitative or computational discipline.Exceptional research track record demonstrating innovation in your field including strong publication records/best paper awards.Capable across topics in statistical modelling, algorithms, data structures, and/or ML.Working proficiency in one of the main OO programming languages: C++, Python.Academic achievement and extraordinary accomplishments in high school and university-level programming competitions including but not limited to: Olympiad Medallists, ACM-ICPC finalists and winners, and Industry-sponsored Hackathon finalists and winners.Desirables:Prior work experience in a research role in technology or finance is a plus, particularly within an internship capacity.Knowledge of financial markets or the Crypto industry is a plus but not a requirement with the firm willing to invest in the right individuals.Direct experience of generating weak signals from raw, complex and noisy data sets.If this opportunity is of interest, please apply direct or email me at .