Junior Data Analyst - Algorithmic Trading

As a member of the team, your role will involve supporting senior analysts in developing and maintaining algorithms for high-frequency trading strategies. You will: - Clean and prepare financial data for analysis - Assist in the development and testing of trading algorithms - Monitor algorithm performance and identify areas for improvement - Document your work and share your findings with the team - Collaborate with other analysts and engineers To qualify for this role, you should have: - Bachelor's degree in Computer Science, Finance, or a related field - 0-1 year of experience in a data-related role - Proficiency in Python or R - Familiarity with financial markets and trading strategies - Excellent analytical and problem-solving skills In addition to the above responsibilities and qualifications, the benefits included in this position are a competitive salary and benefits package, opportunities for professional development and growth within the finance industry, mentorship from experienced professionals, and a dynamic and challenging work environment. Your day-to-day activities will involve cleaning and preparing data, assisting in algorithm development, and monitoring performance metrics. As a member of the team, your role will involve supporting senior analysts in developing and maintaining algorithms for high-frequency trading strategies. You will: - Clean and prepare financial data for analysis - Assist in the development and testing of trading algorithms - Monitor algorithm performance and identify areas for improvement - Document your work and share your findings with the team - Collaborate with other analysts and engineers To qualify for this role, you should have: - Bachelor's degree in Computer Science, Finance, or a related field - 0-1 year of experience in a data-related role - Proficiency in Python or R - Familiarity with financial markets and trading strategies - Excellent analytical and problem-solving skills In addition to the above responsibilities and qualifications, the benefits included in this position are a competitive salary and benefits package, opportunities for professional development and growth within the finance industry, mentorship from experienced professionals, and a dynamic and challenging work environment. Your day-to-day activities will involve cleaning and preparing data, assisting in algorithm development, and monitoring performance metrics.