Specialist Data Scientist

7 days ago


Johannesburg, Gauteng, South Africa NTT Data Full time
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.
  • 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.

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.
  • Must have knowledge of market microstructure.
  • Experience with high-frequency trading data and market microstructure.
  • Proficiency in Python and familiarity with AWS services, especially Sage Maker.
  • Ability to work with large datasets and perform data normalization.
  • Knowledge of technical indicators and their application in equity markets.

Skills:

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