Founding Quantitative / Algo Researcher
Position Overview: We are seeking a highly skilled and innovative Quantitative Researcher to lead the AI and ML trading model development for our AI agent platform. This role will be founding role within our team and focus on leveraging quantitative methods and AI technologies to create, improve, and optimize algorithmic trading models for the cryptocurrency market. The ideal candidate has a passion for quantitative research, a strong understanding of financial markets, and experience with cutting-edge AI tools and techniques.
Responsibilities:
Strategy Development & Optimization:
- Design and implement algorithmic trading strategies using quantitative models and AI techniques.
- Optimize existing strategies by analyzing performance metrics and incorporating advanced machine learning algorithms.
Data Analysis & Modeling:
- Collect, clean, and preprocess large datasets from financial markets.
- Develop predictive models and indicators to identify trading opportunities and manage risks.
AI Integration:
- Apply machine learning techniques, including reinforcement learning, deep learning, and NLP, to enhance trading strategies.
- Implement AI-driven decision-making processes for real-time trading.
Backtesting & Simulation:
- Conduct rigorous backtesting and simulations to evaluate the effectiveness of strategies.
- Iterate on models to improve performance and robustness under different market conditions.
Collaboration & Reporting:
- Work closely with engineers to deploy strategies into production environments.
- Communicate findings and strategy updates to stakeholders in clear and concise terms.
Continuous Learning:
- Stay updated on the latest advancements in quantitative finance, AI, and machine learning.
- Experiment with new tools and techniques to maintain a competitive edge.
Qualifications:
Technical Skills:
- Proficiency in Python, R, or other programming languages commonly used in quantitative research.
- Strong knowledge of statistical analysis, time-series modeling, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Deep understanding of market microstructure, statistical arbitrage, and algorithmic trading
Financial Expertise:
- Understanding of financial markets, crypto markets, instruments, and trading mechanics.
- Familiarity with quantitative trading strategies, risk management, and portfolio optimization.
- Experience with high-frequency trading systems and order book analysis
Analytical Abilities:
- Strong problem-solving skills with the ability to analyze complex datasets.
- Creativity in developing innovative approaches to trading challenges.
Experience:
- Previous experience in quantitative research, trading, or AI applications in finance.
- A track record of deploying successful trading strategies in the cryptocurrency markets
Education:
- Advanced degree in Quantitative Finance, Computer Science, Mathematics, Physics, or a related field.
Preferred Attributes:
- Passion for algorithmic trading and financial innovation.
- Ability to thrive in a fast-paced, collaborative environment.
- Eagerness to push the boundaries of AI and quantitative research.
Benefits:
- equity and token compensation
- Opportunities for professional growth and learning.
- Access to state-of-the-art technology and datasets.
- Flexible working environment.
Application Process: Interested candidates should submit their resume, a cover letter highlighting relevant experience, and examples of past projects or strategies developed (if applicable). This is a cutting edge startup, and only suited for those looking for a challenge and non traditional finance route.
This role offers an exciting opportunity to shape the future of trading strategies at the intersection of AI and finance. Join us to innovate and lead in this dynamic field!
