Machine Learning Signal Construction Quant - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

beBee Recruiter


Description
**Role:
- **You will be using Machine Learning/Data Science to build and implement systematic Equity strategies/signals with a focus on short to mid-term investment horizons.

**Requirements:
- **A MSc / PhD in Applied Mathematics, Machine Learning, Statistics or Computer Science

Proficiency in hands on machine learning techniques used in finance.

Experience in working with a variety of datasets (intraday market data, fundamental data, alternative data, etc.)

Proficiency in Python or C++

Be familiar with alpha signal construction methodologies.

Experience in portfolio construction/optimisation.

The fundamental component for this position is Machine Learning.

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

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