High Frequency Trading Alpha Researcher

[About Us] Quantrend Technology focuses on building financial trading strategies across a variety of asset classes and global markets. We empower the paradigm shift from traditional quant to AI quant by using modern end-to-end deep learning models. The difference between traditional approaches and our proprietary solution is that our models can automatically extract robust and high-quality trading signals (Alphas), but traditional hand-crafted approaches often fail to do so. We are a performance-driven company, seeking agile and talented people to join our team. Our working environment is relaxed yet intellectually intense. If you are a tech-savvy individual who enjoys the challenges of solving difficult technical problems in a fast-paced, energetic environment, then this is the role for you. We value the contributions of trading strategy developers and offer lucrative dividends and annual bonuses to high-performance employees. If you ever imagine running your startup where the profits are directly associated with your efforts, join us now! [Responsibilities] - End-to-end research and development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation. - Perform rigorous and innovative research to discover systematic anomalies in the market. - Identify and evaluate new datasets for alpha generation. - Collaborate with machine learning alpha research and engineering teams to generate practical trading signals. - Conduct quantitative research independently including market data analysis, prototyping, backtesting, strategy parameters tuning, and performance monitoring. - Design and maintain trading models and strategies framework with the backend engineer team. Trading models and strategies execution implementation and market monitoring. - Maintain and improve portfolio trading in the production environment. [Requirements] - Degree in mathematics, physics, computer science, finance, business school, or with other quantitative-related experience. - Interest in quantitative research and statistical evidence-driven decision-making. - Experienced in trading crypto, equity, FX, options, or futures will be a plus. - Programming skill in Python is a must, experience with C++ or Rust is a plus - Strong analytical and quantitative skills are a must. - Ability to development of trading models or strategies independently. - Demonstrated ability to conduct independent research on alpha factors. - Ability to design and figure out innovative alternative alpha factors as trading signals.