Machine Learning Engineer jobs in United Kingdom
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Data Scientist Cross Asset
Job summary
A leading Quant Trading firm is seeking a Data Scientist in Greater London to join their Cross Asset Data Quant team. In this role, you will collaborate with Quant Researchers and Data Engineering teams, utilizing Machine Learning and Statistical Methods for dataset evaluation and feature extraction. Candidates must have strong Python skills, a solid mathematical background, and experience in NLP. This opportunity offers a competitive salary of £150,000 - £160,000 plus bonuses and benefits.
Benefits
Responsibilities
- Collaborate directly with Quant Researchers and Data Engineering teams to evaluate new datasets using Machine Learning and Statistical Methods.
- Work across the full data science suite, including data exploration and data acquisition.
- Utilise NLP and other data-driven methods as part of dataset evaluation and feature extraction where appropriate.
Skills
£150000 - £160000 per annum + Bonus, Pension, Other Benefits
Contact email: jdattani@vertuspartners.com
Job ref: DS/2604/GC_1714149423
A leading Quant Trading firm are looking to hire a Data Scientist within their Cross Asset Data Quant team.
You'd be collaborating directly with Quant Researchers and Data Engineering teams, working directly with Machine Learning and Statistical Methods to evaluate new datasets.
Your remit will also include working across the full data science suite, working across data exploration and acquisition, utilising methods like NLP.
- Collaborate directly with Quant Researchers and Data Engineering teams to evaluate new datasets using Machine Learning and Statistical Methods.
- Work across the full data science suite, including data exploration and data acquisition.
- Utilise NLP and other data-driven methods as part of dataset evaluation and feature extraction where appropriate.
- Very strong Python experience
- A strong mathematical background
- Background in NLP
- Knowledge of data manipulation and exploration in a quantitative setting
- Experience working in a Front Office environment
If this sounds like a great fit, please apply through this advert.
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