Python Data Scientist (Quantitative Finance)We are seeking a highly skilled and motivated Python Data Scientist to join our dynamic team with a minimum of 4 years of work experience. The ideal candidate will have extensive knowledge in quantitative finance, with a focus on FX or cryptocurrency trading. This position requires a strong foundation in Python programming and linear models, as well as proven experience in data mining.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.