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| Job Location | London |
| Education | Not Mentioned |
| Salary | £65,000 - £75,000 per annum |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent, full-time |
Data Scientist – Quant ResearchOne of the worlds leading online CFD and financial spread betting providers is looking for a Data Scientist to join their Quantitative Strategies team in London.Responsibilities:- Scope and deliver data science projects in conjunction with internal teams (quant-trading and dealing) across pricing and risk domains- Test and develop Machine Learning / Deep Learning strategies using relevant methodologies to match the requirements- Support scaling of current infrastructure; keeping abreast of the latest technologies, current business (data) model and relevant transformations required- Working closely with the rest of the team in standardising codebase (for modelling pipelines) and data queries (defining variables) in the interest of speeding up deliveriesRequirements:- Quantitative background, gained through a combination of work experience and an advanced degree (MSc or PhD) in STEM- Experience of using Python (associated ML/DL API’s - Numpy, Pandas, Scikit-Learn, TensorFlow / keras or PyTorch, PyMc3 is desired)- Experience applying Machine Learning / Deep learning methodologies in relevant domains; Time Series Forecasting, predictive modelling, NLP, Computer vision or RL- Ability to convert a non-technical problem description into a model / formal piece of analysis and explain derived insights to both technical and non-technical audiences- Experience using one of Relational Databases (Oracle, Postgres, Sybase or SQL-Server) and/or exposure to high frequency tick programming software – HDF5, KDB+ or OneTickDesirable:- Experience in distributed computing frameworks (Dask or Ray) and exposure to any of parallel programming frameworks (MPI, OpenSHMEM, Charm++ and Legion)- Understanding of engineering best practices, agile development processes and version control- Experience with containerisation and virtual