Data Analytics Engineer/ London - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description
**Role:
- **Test/evaluate new alternative datasets in collaboration with quant researchers and data teams

Once identified with machine learning and statistical methods, automate the extraction of predictive features

Manage the full lifecycle of data science projects: data acquisition/exploration/engineering, prototyping, and production

Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc

Work in collaboration with data engineers, quantitative researchers, to help understand and architect the systems

**Requirements:
- **A keen interest in financial markets, data analysis and programming

Structured and unstructured data management expertise

Strong coding experience in Python, C/C++, C# is a plus

Cloud platforms (AWS, GCP, etc.) expertise

Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics

3+ years of experience as a Data Engineer/Analyst/Scientist

Significant experience in NLP preferred

**Apply:
- **Please send a PDF resume to

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