Aws Data Scientist
6 days ago
Job Description: Exciting Data Scientist Role in Global Markets
Are you passionate about market-making models, high-frequency trading, and cutting-edge machine learning? Join a top-tier team revolutionizing equities and derivatives trading with advanced AI-driven analytics
Work with AWS (S3, SageMaker), Python, and SQL to develop and optimize trading algorithms. Leverage LSTMs, Convolutional networks, and market microstructure insights to predict price movements. Collaborate with traders, quants, and data scientists in a fast-paced environment. Shape the future of algorithmic trading and expand the universe of traded stocks
If you thrive on solving complex financial challenges, this role is for you
Location: Johannesburg | Apply now
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.
- Familiarity with cloud technologies and their application within the financial services sector.
- Strong background in machine learning, particularly in time series analysis and neural networks.
- Hands-on experience with coding in Python and the use of visualization tools.
- Must have experience with machine learning and knowledge of market microstructure.
- Experience with high-frequency trading data and market microstructure.
- Proficiency in Python and familiarity with AWS services, especially SageMaker.
- Ability to work with large datasets and perform data normalization.
- Knowledge of technical indicators and their application in equity markets.
Requirements:
- Proficiency in SQL, Python, AWS, and QuickSight.
- Experience working with databases for data analysis.
- 5+ years of experience within global markets.
- Knowledge of statistical and ML (machine learning) techniques.
- Experience with ticketing systems (e.g., Azure DevOps (ADO), ServiceNow), change management tools.
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