Quantitave developer creath trading Algorithm with ML

Quantitative Engineer / Quantitative Researcher We are looking for an experienced **Quantitative Engineer / Quantitative Researcher** to design, develop, and optimize algorithmic trading strategies using quantitative methods, statistical modeling, and machine learning. Key Responsibilities * Develop and implement **algorithmic trading strategies** across financial markets. * Research quantitative models and identify profitable trading opportunities. * Apply **machine learning and AI techniques** to improve strategy performance and market prediction. * Backtest, optimize, and validate trading algorithms using historical and live market data. * Develop robust risk-management and portfolio optimization models. * Continuously monitor and improve existing trading systems and strategies. * Work with large financial datasets to identify patterns, signals, and market inefficiencies. * Collaborate with software engineers to deploy quantitative strategies into production. Requirements * **Significant professional experience in quantitative finance, quantitative engineering, or algorithmic trading.** * Strong experience developing and deploying **automated trading algorithms**. * Advanced knowledge of **machine learning, statistical modeling, and time-series analysis**. * Strong Python programming skills; experience with C++ is an advantage. * Experience with financial markets, quantitative research, backtesting, and trading-system development. * Strong understanding of risk management, portfolio construction, and performance evaluation. * Experience working with large datasets and financial APIs. * Ability to independently research, develop, test, and improve quantitative strategies. Preferred * Experience applying ML/AI to algorithmic trading. * Experience with deep learning, reinforcement learning, or alternative data. * Proven track record of developing profitable or high-performing quantitative strategies. * Advanced degree in Computer Science, Mathematics, Statistics, Engineering, Physics, Finance, or a related quantitative field. Ideal Candidate: A highly experienced quantitative professional who combines **quantitative finance, software engineering, and machine learning** to build sophisticated, data-driven trading systems.