Quant Researcher

4 weeks ago

Bengaluru, Karnataka, India BitQcode Capital Full time
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 (Master's/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.

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