Software Engineer II - Python
JPMorgan Chase & Co. Bengaluru, Karnataka, India
Financial Services · 10,001+ employees
About the role
Contribute to the design and development of a next-generation analytics platform while collaborating with traders and quants. Apply quantitative and machine learning techniques to large datasets to support secure and stable application development.
What they look for
Requirements
Requires 2+ years of software engineering experience with proficiency in Python or Java. Candidates must have hands-on experience with AI-assisted development tools and a strong understanding of software development lifecycles.
Full description
Job Responsibilities
- Contribute to the design and build of our next gen analytics platform.
- Working with other technologists, traders, and quants to deliver business solutions.
- Apply quantitative and ML techniques to data analysis.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- Strong technologist with experience developing in Java or Python
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated output.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language.
- AWS or other cloud certifications is a bonus.
Preferred qualifications, capabilities, and skills
- CFA / CQF or other applied qualification is a bonus
- Development experience in C#, HTML5 / JavaScript is a bonus
- Deep and broad technology expertise in application, data and infrastructure architecture, with current experience of Python and Java, SQL & NoSQL databases, reactive and/or complex event processing is a bonus.
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