Python Developer

JPMorganChase is a global financial services leader providing strategic advice, capital raising, risk management, and liquidity services to corporations, governments, and institutional investors worldwide. The Commercial & Investment Bank division operates across more than 100 countries, delivering innovative solutions for complex financial challenges and regulatory requirements.

• Develop and maintain scalable Python code to automate Treasury analytics and workflows;
• Build and enhance forecasting and analytics platforms with a focus on reliability, performance, and reusability;
• Partner with subject matter experts to translate complex financial products and regulatory drivers into robust analytics solutions;
• Design and execute validation and control testing, including unit tests, regression tests, and data-quality checks;
• Prepare and maintain technical documentation to support auditability and governance;
• Create and maintain business-aligned test cases based on project feedback and methodology changes;
• Debug, troubleshoot, and optimize Python applications and data pipelines to improve stability and observability.

• Degree in Information Technology, Data Science, Econometrics, Statistics, Finance, Economics, or a related field;
• Relevant professional experience in application development, process automation, or financial analysis;
• Proficiency in Python, including libraries such as pandas, numpy, matplotlib, sklearn, and statsmodels;
• Experience with Git, unit testing, and debugging;
• Ability to leverage cloud and data platforms like AWS, Databricks, and Snowflake for data ingestion and scalable analytics;
• Experience performing quality checks and analysis on large datasets using Excel and Python;
• Strong analytical, problem-solving, and communication skills;
• Ability to collaborate with cross-functional stakeholders in a fast-paced environment;
• Nice to have: Knowledge of software development lifecycle, knowledge of banking products, experience in derivatives pricing, securities, secured funding, market/counterparty risk, or valuations, technical skills in JavaScript, SQL, Tableau, or Alteryx.

• No conditions specified