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Open nowFirst seen 4 days ago

Specialist Data Scientist

Boardroom Appointments3,354 open roles

Where
Sandton, South Africa
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Your applicationOpen nowSpecialist Data ScientistBoardroom Appointments · Sandton, South Africa

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  4. CV RocketApplied on Boardroom Appointments's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Specialist Data Scientist - 3 Month Contract

Key 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.
  • Analyze 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 cross-functional teams to integrate new indicators and models into production environments.
  • Work with AWS infrastructure, including S3 buckets and SageMaker, for data processing and model training.
  • Generate and analyze data samples, including time-based and volume-based sampling.
  • Ensure model robustness by balancing in-sample and out-of-sample results.

Minimum Requirements

Experience

  • 5-7 years of experience in data analytics, machine learning, and quantitative analysis.
  • 5+ years of experience working within global markets.
  • 2+ years of experience within a hedge fund environment.
  • Proven experience 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 using data visualization tools.

Technical Skills

  • Proficiency in: Python 5+ years SQL 5+ years AWS (including SageMaker, S3) 5+ years QuickSight 5+ years
  • Strong background in: Machine learning (especially in time series and neural networks) Statistical and ML techniques Trading algorithms
  • Experience with: High-frequency trading data and market microstructure Ticketing and change management tools (e.g., Azure DevOps (ADO), ServiceNow)

Preferred Qualifications

  • Familiarity with cloud technologies and their application within the financial services sector.
  • Knowledge of technical indicators and their application in equity markets.
  • Ability to work with large datasets and perform data normalization.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to collaborate effectively with cross-functional teams.
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    The review screen in CV Rocket: how each CV was read, round by round.

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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