Quantitative Researcher
4 weeks ago
We're developing a high-frequency, automated trading system that uses advanced liquidity strategies within centralized crypto exchanges, also known as market-making strategies.
Our goal is to create a cutting-edge platform that handles real-time data processing and optimizes trading performance while keeping risk in check.
We're all about innovation and harnessing the power of machine learning and neural networks to bring our vision to life. As part of this ambitious journey, we're building a smart, automated trading platform with advanced data tools and a focus on risk management, using the latest models and methodologies.
People perform better when they're happy, paid well, looked after, and supported, therefore we understand the importance of work-life balance and offer the flexibility to choose where and when you're most productive.
Right now, we're a tightly-knit team based in Lithuania, though we don't care where you are in Europe if you're a fit.
We're building a cutting-edge high-frequency trading system and need a Quantitative Researcher to help bring it to fruition.
Key Responsibilities:
- Develop and implement machine learning models for high-frequency trading.
- Design and optimize automated trading strategies using advanced liquidity techniques.
- Collaborate with the team to create a cutting-edge trading platform.
- Contribute to the development of a risk management framework.
Requirements:
- 5+ years of experience applying machine learning in financial markets or similar complex real-time systems.
- Strong experience in developing and implementing LSTM and LightGBM models.
- Proficiency in Python programming and its scientific computing libraries (NumPy, Pandas, Scikit-learn).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of time series analysis and forecasting methods.
- Understanding of crypto market-making and statistical arbitrage strategies.
- Strong knowledge of statistics and probability theory.
What We Offer:
- Competitive compensation based on your skills and experience.
- Opportunity to join the team at the early stages of the venture and be directly involved in building it from the ground up.
- Fully remote work environment.
- Flexible working hours.
- Ownership and independence to make decisions and act swiftly.
We're looking for a talented Quantitative Researcher to help us develop a cutting-edge high-frequency trading system.
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