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.
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