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 asalim@hunterbond.com .