FPGA Programmer

As a Quantitative Researcher at Quance Research Capital LLP, you will be responsible for developing and testing automated quant trading strategies using sophisticated statistical techniques. Your role will involve designing high frequency trading strategies with access to market data from various exchanges worldwide. You will analyze data, identify patterns, explore market inefficiencies, and create algorithms to capitalize on opportunities that exist for just a fraction of a second. It is crucial that the algorithms you develop are highly efficient to ensure success in the fast-paced trading environment. Key Responsibilities: - Conceptualize, develop, and enhance mathematical models to translate algorithms into code - Analyze gigabytes of data daily from various exchanges using Python, R, and C++ to identify micro behavioral patterns - Study market microstructure to discover trading signals and opportunities based on order flow - Collaborate with the team to improve existing trading strategies and enhance performance metrics like latency and PnL - Back test and implement trading models and signals in a live trading environment - Conduct research and statistical analysis to refine trading signal monetization systems - Manage a vast portfolio and develop essential business reports Qualifications Required: - Graduate degree (Bachelors, Masters, PhD) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, Economics, or a similar quantitative field - Minimum of 2 years of experience, preferably in High-Frequency Trading (HFT) or Algorithmic trading - Strong knowledge of probability and statistics, with expertise in machine learning, time-series analysis, pattern recognition, and NLP - Proficiency in Python or R, C++, data science, machine learning, and market microstructure - Working knowledge of Linux is preferred - Prior trading experience is beneficial but not mandatory - Experience in a data-driven research environment and a keen interest in Machine Learning/AI techniques - Excellent analytical skills, attention to detail, and the ability to work under pressure and in a team environment If you possess expertise in ML-based systems, a passion for financial markets, and trading, we encourage you to apply for this exciting opportunity at Quance Research Capital LLP.,