Biomedical Scientist jobs in South Africa

• 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.
• Analyse 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 analyse data samples, including time-based and volume-based sampling.
• Ensure the robustness of models by balancing in-sample and out-sample results.

What we are looking for:

• Completed BSc / IT degree or other related fields.
• 5 - 7 years of experience in data analytics, machine learning, 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.

Technical Skills:

• Proficiency in SQL, Python, AWS, and QuickSight; experience working with databases for data analysis (5+ years).
• Knowledge of statistical and ML (machine learning) techniques.
• Experience with ticketing systems (e.g., Azure DevOps (ADO), ServiceNow), change management tools.
• 5+ years of experience within global markets.
• Proficiency in machine learning is a must.
• Proficiency in trading algorithms is a must.

Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.