Software Engineer III - Data Science

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Test Integration and Implementation Payments Technology Team in the Commercial & Investment Bank line of business, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities


* Develop and deploy machine learning models and generative AI capabilities.


* Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems


* Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development


* Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems


* Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture


* Contributes to software engineering communities of practice and events that explore new and emerging technologies


* Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience.


* Hands-on practical experience in system design, application development, testing, and operational stability


* Proficient in coding in Python


* Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)


* Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages


* Overall knowledge of the Software Development Life Cycle


* Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security


* Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills


* Familiarity with modern front-end technologies (e.g.

React)


* Exposure to cloud technologies (e.g.

Kubernetes & AWS)

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers...