- Creating advanced algorithms and models to extract actionable insights from large datasets, delivering valuable predictions for trading teams.
- Working closely with trading teams to identify potential prediction targets and relevant datasets.
- Conducting initial research to assess the feasibility and potential success of identified targets.
- Developing and implementing complex machine learning algorithms essential for daily trading decisions and operations.
- Demonstrated expertise in applying deep learning and advanced machine learning techniques in the finance sector.
- Experience in leading a team of Junior Data Scientists.
- Proficient in data forecasting, analysis, prediction, and generating trading signals from datasets.
- Hands-on experience with TensorFlow (and/or Keras), scikit-learn, and related tools, along with proficiency in Python programming.
- Strong analytical and mathematical skills necessary for model development and validation.
- Excellent problem-solving abilities to address complex challenges.
- Effective communication skills crucial for team collaboration and the ability to thrive independently in a dynamic environment.
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Lead Data Scientist - Greater London, United Kingdom - Eames Consulting
Description
Job Description
We are excited to be supporting a leading global hedge fund that values technology and data science to address business complexities. They are building a strong Quant Technology team focused on developing innovative in-house analytics and trade discovery tools. Currently, they are seeking an experienced Lead Data Scientist to oversee a team of Junior Data Scientists in their London office.
Responsibilities:
Key Qualifications: