Description:
Key Responsibilities:Develop and enhance market-making models using high-frequency trading data Conduct back testing and research to improve model accuracy Apply machine learning techniques (e.g., LSTMs, CNNs) to predict short-term price movements Integrate models into production environments in collaboration with cross-functional teams Work with AWS infrastructure (S3, Sage Maker) and large datasets Generate and analyse time-based and volume-based data samples Contribute to the creation and optimisation of trading algorithms Minimum Requirements:
57 years' experience in data analytics, machine learning, and quantitative analysis Strong knowledge of global markets, equities, and trading systems Proficiency in Python, SQL, AWS, and data visualisation tools Practical experience with market microstructure and high-frequency data techniques Exposure to hedge fund environments (minimum 2 years) Hands-on experience with machine learning in financial systems Contract Details:
3 Months On-Site: Sandton R550 per hour (Note that it is the client's prerogative, regardless of advertised package, to offer a market related salary considering the candidate's qualifications, skills, and level of experience.)
27 May 2025;
from:
gumtree.co.za