We are seeking highly motivated and curious individuals to join our Machine Learning team at Kronos Research. In this role, you will bridge the gap between advanced deep learning and financial markets, designing robust models for medium and high-frequency systematic trading strategies. You will manage the full ML lifecycle, from researching novel architectures to deploying scalable, low-latency models that directly drive trading revenue.
Key Responsibilities
- Feature Engineering: Analyze complex time-series data, orderbook dynamics and trade data to engineer high-signal features
- Deep Learning Architecture: Design and train deep-learning based models (MLP, LSTM, RNN, Transformers, RL agents, etc) tailored for financial trading environments
- Backtesting & Evaluation: Conduct comprehensive backtesting and simulation across various asset classes and exchanges; analyze trade execution and PnL attribution
- Model Deployment: Collaborate with engineering teams to optimize and deploy models into production
- MLOps & Automation: Build and maintain automated pipelines for data ingestion, model retraining, and continuous performance monitoring to streamline the research-to-production workflow
Qualifications
- Strong academic or professional foundation in machine learning, quantitative research, and/or other related STEM fields; open to both experienced candidates and highly-motivated fresh graduates
- Deep understanding of neural network architectures and their application to time-series forecasting
- Proficiency in Python and modern ML frameworks (PyTorch/TensorFlow/Jax); C++ preferred
- Solid command of probability theory, linear algebra and applied statistics
- Strong communication skills and able to articulate technical concepts with clarity
- High level of drive, curiosity and a passion for continuously learning in a fast-paced environment
Skills Required
- Background in machine learning or quantitative research
- Experience deploying ML models in real-time environments
- Familiarity with optimizing model latency and inference speed
- Strong mathematical and statistical background
What We Do
Company Information: Kronos Research is a technology and science-driven trading firm. We risk firm capital, trading a broad range of financial instruments and strategies on global markets. The firm is willing to pursue new ideas and markets with conviction and as such, we have been at the forefront of technology and markets, quickly dominating newer markets such as applying HFT to cryptocurrency trading. Kronos trades on average more than $5 Billion USD / day just in crypto volume alone. Our team has grown quickly from 2 in 2018 to the now 80+ team at our Taipei headquarters and office in Shanghai with more locations on the way. Mission Statement: Together we work on meaningful goals and solve complex problems. Our team is defined by a high-performance culture that values collaboration and meritocracy. We like being challenged and don’t mind putting in the hard work. While the recognition and extremely competitive compensation make it a sweet place to work at, we are united fundamentally by our love and curiosity for innovation in financial markets and technology. The next phase of our company will be about becoming the best place for liquidity and using that position to create positive change. Our ultimate goal is to provide the infrastructure to make investing and trading easier and fairer for people around the world. One day, in any country, people will be able to invest in a Japanese stock, a German hedge fund, or a new cryptocurrency. Check out our current openings on: https://grnh.se/b00d843a3us
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