• Develop and maintain Python scripts for data processing and analysis.
• Work with the quantitative research team to understand their data processing needs and provide solutions.
• Clean, manipulate, and merge large time-series datasets from various sources.
• Automate data processing tasks to improve efficiency and accuracy.
• Perform quality control checks on processed data to ensure accuracy and completeness
• Collaborate with the IT team to integrate data processing solutions with other systems and tools
• Bachelor's degree in Computer Science or relevant fields with more than 2 years of working experience with Python
• Strong experience with Python and its scientific libraries (e.g. Numpy, Pandas, Scikit-learn).
• Knowledge of SQL and database management.
• Familiarity with financial markets and instruments.
• Ability to work independently and in a team environment.
• Excellent problem-solving skills and attention to detail.
• From Mon to Fri
• Attractive salary (up to 2000 USD monthly) and reward initiatives
• Insurance & healthcare
• PC, monitors and anything you need
• Professional and flexible working environment
A start-up attitude - you take full ownership of things that you do, willing to go out of your comfort zones and take on new challenges. Comfortable with ambiguity and flexible to learn new things - we’re not done growing, and heading into uncharted territories is what we are doing everyday