Description:
Responsibilities:Assist in the development and optimization of market-making models, focusing on equities and equity derivatives. Conduct back testing and research to improve current models and develop new ones. Analyze high-frequency trading data to identify patterns and trends. Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements. Collaborate with teams to integrate new indicators and models into production environments. Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training. Generate and analyze data samples, including time-based and volume-based sampling. Ensure the robustness of models by balancing in-sample and out-sample results. Assist in the development and optimization of market-making models, focusing on equities and equity derivatives. Conduct back testing and research to improve current models and develop new ones. Analyze high-frequency trading data to identify patterns and trends. Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements. Collaborate with teams to integrate new indicators and models into production environments. Work with AWS infrastructure, including S3 buckets and Sage Maker, for data processing and model training, or possibly an alternative similar platform. Generate and analyze data samples, including time-based and volume-based sampling. Ensure the robustness of models by balancing in-sample and out-sample results. Key Projects: Expanding the universe of stocks traded by the current algorithm, creating new algorithms and possibly updating current sell-side / trader algos (market making). Incorporating trading indicators and market trends into existing models. Developing stationary indicators to predict price movements. Collaborating with the data analytics team to optimize model performance.
Requirements:
Minimum 5-7 years of experience in data analytics, machine learning, and quantitative analysis. Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems). Strong understanding of financial products, capital markets, derivatives, and treasury operations. Strong understanding of Equities and trading. Hands-on experience with coding in Python, and the use of visualization tools. Must have experience with Machine Learning. Must have knowledge of Market Microstructure. 5+ Years of experience withinglobal markets. Proficiency inmachine learning. Proficiency intrading algos. 2+ Years of experience within Hedge fund. Skills:
22 Apr 2025;
from:
gumtree.co.za