Data Scientist at IndSAfri

Job Description / Responsibilities:

• Assist in the development and optimization of market-making models, focusing on equities and, equity derivatives.
• 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.

Experience: 

• Minimum 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

Must Have Skills:

• Proficiency in SQL, Python, AWS, and Quick sight; 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
• Proficiency in trading algos
• 2+ Years of experience within Hedge fund