Quant Researcher (PhD Mathematics) BitQcode Capital

About BitQcode Capital

Job Description

About Us : Our cutting-edge crypto hedge fund specializes in high-frequency and machine-assisted trading strategies, seeking a exceptional PhD-level mathematical talent to drive our quantitative research and development. Position Overview : We are recruiting a PhD Physics or Mathematics candidate with advanced mathematical expertise to develop sophisticated trading algorithms and innovative financial models in the dynamic cryptocurrency markets, Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Key Responsibilities : - Design and implement advanced machine learning and AI-driven trading strategies - Develop high-frequency trading algorithms using Python/C++ - Conduct quantitative research on market microstructure and trading opportunities - Create predictive models using time series analysis and stochastic calculus - Analyze complex market patterns and develop innovative trading approachesResearch, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. -Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. -Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. -Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. -Optimize AI models for real-time decision-making and high-frequency trading strategies. -Conduct backtesting and live simulations to evaluate model performance under different market conditions. -Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. Required Technical Expertise : - PhD in Mathematics, Applied Mathematics, Statistics or related quantitative field - Advanced knowledge in: - Stochastic Calculus - Machine Learning/Artificial Intelligence - Game Theory - Time Series Analysis - Control Theory - Pattern Recognition Soft Skills : - Research-driven mindset with exceptional analytical capabilities - Strong problem-solving skills - Ability to work independently and collaboratively - Strong attention to detail - Thrives in high-pressure, fast-evolving environments - Critical thinking and rapid skill acquisition - Creative approach to complex technical challenges Ideal Candidate Profile : - 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 - Adaptable to rapidly changing technological landscapes.,