Python Developer TraineeApply now

• Develop test and deploy highquality Python applications and scripts.
• Leverage Azure Gen AI (LLM) to build and enhance machine learning models.
• Design and implement machine learning algorithms and predictive models.
• Utilize Conda for environment management and package distribution.
• Develop and maintain RESTful APIs using FastAPI.
• Create Quick Process Automations (QPAs) using VBA MS Office Pack Java and SQL.
• Collaborate with crossfunctional teams to understand business requirements and deliver solutions that meet client specifications.
• Ensure adherence to best practices in software development and data science processes.
• Troubleshoot and resolve technical issues related to automation and machine learning applications.
• Continuously research and implement new technologies to improve development efficiency and product quality.
• Collaborate with the quantitative research team to implement trading strategies.
• Optimize and enhance the performance of existing trading algorithms.
• Conduct rigorous backtesting of trading strategies to ensure robustness and reliability.
• Work with large datasets to extract insights and improve trading algorithms.
• Ensure the stability and performance of trading systems in a live trading environment.
• Maintain and improve database systems for storing and retrieving trading data.
• Collaborate with crossfunctional teams to ensure seamless integration of trading systems with other platforms.
• Stay updated with the latest developments in algorithmic trading and financial markets.

• Bachelors degree in Computer Science Software Engineering or a related field.
• 01 years of experience as a Python Developer with a strong portfolio of projects.
• Indepth understanding of the Python software development stacks ecosystems frameworks and tools such as Numpy Scipy Pandas and DataFrame.
• Experience with database technologies such as SQL and NoSQL.
• Excellent problemsolving ability with solid communication and collaboration skills.
• Knowledge of data science and machine learning concepts and tools.
• A working understanding of cloud platforms such as AWS Google Cloud or Azure.
• Contributions to opensource Python projects or active involvement in the Python community.
• Experience in Algo trading is a plus.
• Familiarity with backtesting engines like Amibroker is nice to have.

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