Quant Researcher

You will be part of a cutting-edge crypto hedge fund that specializes in high-frequency and machine-assisted trading strategies. We are looking for an exceptional PhD-level mathematical talent to lead our quantitative research and development efforts. As a PhD Physics or Mathematics candidate with advanced mathematical expertise, you will be responsible for developing sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets. You should have an advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Your key responsibilities will include designing and implementing advanced machine learning and AI-driven trading strategies, developing high-frequency trading algorithms using Python/C++, conducting quantitative research on market microstructure and trading opportunities, creating predictive models using time series analysis and stochastic calculus, analyzing complex market patterns, and developing innovative trading approaches. You will also be involved in researching, designing, and implementing AI-powered trading algorithms to predict market movements and optimize execution, developing and training machine learning models using historical and real-time market data, utilizing reinforcement learning and deep learning techniques for predictive modeling in financial markets, leveraging NLP and sentiment analysis for trading signals, optimizing AI models for real-time decision-making and high-frequency trading strategies, conducting backtesting and live simulations to evaluate model performance, and working with large-scale financial datasets using cloud-based AI/ML infrastructure. To excel in this role, you are required to have a PhD in Mathematics, Applied Mathematics, Statistics, or related quantitative field, along with advanced knowledge in Stochastic Calculus, Machine Learning/Artificial Intelligence, Game Theory, Time Series Analysis, Control Theory, and Pattern Recognition. In addition to technical expertise, we are looking for candidates with a research-driven mindset, exceptional analytical capabilities, strong problem-solving skills, ability to work independently and collaboratively, strong attention to detail, ability to thrive in high-pressure environments, critical thinking skills, rapid skill acquisition, and a creative approach to complex technical challenges. The ideal candidate for this position is passionate about applying cutting-edge mathematical research to financial markets, excited by cryptocurrency's technological and financial innovations, comfortable with self-guided research and collaborative problem-solving, and adaptable to rapidly changing technological landscapes.,