Quant Trader

We are seeking a highly motivated Quantitative Trader who is passionate about the markets and has a proven track record of developing and executing innovative trading strategies. As a Quantitative Trader at machine.ai, you will be responsible for researching, designing, and implementing proprietary trading strategies.

Key Responsibilities

Strategy Development: Research and develop quantitative trading strategies that leverage statistical and machine learning models to identify profitable opportunities.
Backtesting & Simulation: Conduct rigorous backtesting and simulation of trading strategies using historical and real-time data to ensure robustness and profitability.
Algorithm Implementation: Translate trading strategies into efficient, low-latency algorithms that can be executed automatically across various markets and asset classes.
Risk Management: Implement and maintain risk management protocols to ensure the preservation of capital and adherence to trading limits.
Qualifications

Education: Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Financial Engineering, or a related discipline.
Technical Skills: Proficiency in Python
Market Knowledge: Deep understanding of financial markets, including equities, derivatives, fixed income, and/or cryptocurrencies.
Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and identify trends.
Communication: Excellent communication and teamwork skills, with the ability to collaborate effectively in a fast-paced, dynamic environment.