Python Developer (Backend)

About The Role We are looking for a skilled Python Developer with a strong focus on backend development to join our tech team. You will work on creating and optimizing complex trading systems, integrating real-time data feeds, and implementing algorithmic trading strategies. Responsibilities Design and develop backend systems and APIs for trading platforms Optimize performance and reliability of trading systems and data pipelines Integrate and maintain third-party data sources and trading APIs Collaborate with research and strategy teams to implement new features Debug and troubleshoot issues in production environments Required Skills Proficiency in Python (Django, Flask, or similar frameworks) Strong knowledge of SQL and database management Experience with cloud platforms (AWS, GCP, Azure) Familiarity with version control (Git) Experience with real-time data processing and low-latency systems Excellent problem-solving and analytical skills About The Role We are seeking a Research Analyst specializing in stock market analysis to join our research team. You will conduct in-depth research on stocks, sectors, and economic data, producing actionable insights for the trading team. Responsibilities Perform fundamental and technical analysis of stocks and market trends Provide weekly research reports and insights to the trading team Collaborate with quantitative analysts to develop data-driven investment strategies Monitor market news, earnings reports, and economic data to support trading decisions Present findings to leadership with clear, actionable recommendations Required Skills Strong background in financial analysis and stock market fundamentals Experience with financial modeling tools (Excel, Bloomberg Terminal, FactSet) Ability to analyze large datasets and present findings clearly Excellent written and verbal communication skills Detail-oriented with strong organizational abilities About The Role We are looking for a Quantitative Strategy Developer to design and implement algorithmic trading strategies based on quantitative research and data analysis. You will partner with research and development teams to backtest and optimize trading models. Responsibilities Design and implement quantitative trading strategies across various asset classes Conduct in-depth backtesting and strategy optimization Collaborate with data scientists and analysts to refine models and improve performance Analyze large datasets to identify patterns and alpha-generating opportunities Maintain and optimize live trading systems for high performance and reliability Required Skills Strong proficiency in Python and data libraries (Pandas, NumPy, SciPy) Experience with machine learning frameworks (scikit-learn, TensorFlow, Keras) Knowledge of financial markets and asset classes (stocks, options, futures, etc.) Familiarity with backtesting platforms (QuantConnect, Backtrader) Experience with cloud computing and parallel processing Excellent analytical skills and attention to detail About The Role We are offering an internship opportunity for a motivated student interested in data science and trading research. Gain hands-on experience in quantitative finance, market analysis, and strategy development alongside experienced professionals. Responsibilities Assist with data collection, cleaning, and preprocessing for trading models Support the research team by conducting basic analysis and summarizing findings Contribute to backtesting and strategy development under senior guidance Help create and automate reporting tools and dashboards Required Skills Current enrollment in a Data Science, Finance, or Engineering program Strong knowledge of Python and data analysis libraries (Pandas, NumPy) Familiarity with statistical analysis and data visualization Keen interest in finance and algorithmic trading Strong problem-solving skills and eagerness to learn