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.