In a well-established global crypto proprietary trading firm, the team comprises professionals from top-tier investment banks and market-making firms. You'll work on fast-paced projects involving high-frequency trading, low-latency technologies, and advanced quantitative tools.
Responsibilities:
Drive quant strategy development through comprehensive data exploration and statistical research across TradeFi and Crypto.
Analyze large data sets to predict and test statistical market patterns.
Apply rigorous linear, nonlinear, and machine learning methods, including modeling, to data patterns and algorithms.
Collaborate closely with Portfolio Managers to implement trading models and signals.
Requirements:
Strong academic background in STEM fields such as Statistics, Physics, Mathematics, Engineering, or Computer Science.
Experience in quantitative fields, with expertise in probability and statistics (including time-series analysis and machine learning).
3-5 years of experience in trading, machine learning, quantitative analysis, or data analysis.
Proficiency in Python and data-driven research.
Ability to excel in both open-ended research and time-sensitive projects.
Skill in creating algorithms to analyze large datasets and troubleshoot errors.
