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Job Location | London |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
*Key Responsibilities:*- Collaborate with quantitative researchers to develop, tune, and refine trading models, ensuring optimal performance and accuracy.- Apply expertise in quantitative finance to analyse complex data sets and extract meaningful insights that can directly impact trading strategies.- Utilise Python to implement and maintain robust data analysis tools and algorithms.- Conduct extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets.- Develop and test linear and non-linear modelling techniques to improve predictive accuracy and model performance.- Prepare detailed analytics reports and communicate findings to stakeholders and team members to support data-driven decision-making.*Requirements:*- Proven experience as a Data Scientist with a strong background in Python programming.- Advanced knowledge in quantitative finance, particularly in FX or crypto trading.- Proficiency in linear models and their application in financial modelling.- Demonstrated experience in data mining and handling large, complex datasets.- Ability to work closely and effectively with quantitative researchers and other team members.- Strong analytical skills with a keen attention to detail.- Excellent communication and presentation skills.- This will be a remote position initially and then the candidate will be relocated to Dubai, UAE. Must be willing to relocate.*Preferred Qualifications:*- Advanced degree in Mathematics, Statistics, Computer Science, or a related field.- Experience with additional programming languages or analytical tools is a plus.