Python Data Scientist (Quantitative Finance)
Skills
Programming LanguagesAnalyticsC++Data ModelingModelingPredictionPredictive Modeling
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proven experience as a Data Scientist with Python programming skills.
- Advanced knowledge in quantitative finance especially in FX or crypto trading.
- Proficiency in linear models for financial modeling.
- Demonstrated experience in data mining with large complex datasets.
- Strong analytical skills with attention to detail.
- Excellent communication and presentation skills.
Nice to have
- Advanced degree
- Experience in programming languages
- Analytical tools
Day to day
- Collaborate with quantitative researchers to develop and refine trading models.
- Apply expertise in quantitative finance to analyze data sets and extract insights.
- Use Python to implement data analysis tools and algorithms.
- Conduct extensive data mining to identify trading opportunities in FX and cryptocurrency markets.
- Develop and test modeling techniques for predictive accuracy.
