Python Data Scientist

2 months ago

London, Greater London, United Kingdom OTS Capital Full time

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 nonlinear modelling techniques to improve predictive accuracy and model performance.
  • Prepare detailed analytics reports and communicate findings to stakeholders and team members to support datadriven decisionmaking.

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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