Job Openings Specialist Data Scientist

About the job Specialist Data Scientist

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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