Python Data Scientist (Quantitative Finance)

at  OTS Capital

Dubai, دبي, United Arab Emirates -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Oct, 2024Not Specified21 Jul, 2024N/ALinear Models,Programming Languages,Analytical Skills,Statistics,Computer Science,Mathematics,Quantitative Finance,Data Mining,Presentation SkillsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

O
Posted by
OTS Capital
Recruiter
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.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

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


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science, Mathematics, Statistics

Proficient

1

Dubai, United Arab Emirates