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
Solid technologist with experience developing in Java or Python
Hands-on experience using enterprise-authorized AI-assisted software
development tools within the work setting (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 up-to-date 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

📌 Software Engineer Ii Bengaluru
🏢 JPMorgan Chase
📍 Bengaluru