Software Engineer III Python/Numpy/Pandas

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

As a Software Engineer III- Python / Numerical Libraries at JPMorgan Chase within the Corporate Sector, Corporate Technology, 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:

• Provides 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

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Strong Python development skills and track record of successful delivery of large-scale projects
• Experience using relational database systems such as Sybase, MS SQL Server or Oracle
• Good understanding of the Software Development Life Cycle
• Experience in developing, debugging, and maintaining code in a large-scale enterprise level applications 
• Strong understanding of Data Structures, algorithms and its uses
• Hands-on practical experience in system design, application development, testing, and operational stability
• Demonstrated relevant experience within tech or financial industries
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Ability to work effectively in a dynamic, fast-paced group that has several concurrent projects
• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer

Preferred qualifications, capabilities, and skills:

• Familiarity with shell scripting within UNIX environment
• Strong understanding of mathematical concepts and statistical analysis
• Good understanding of Python numerical libraries such as NumPy, Pandas, Scikit-Learn, SciPy, Torch, Tensorflow etc.
• Exposure to cloud technologies including AWS solutions and storage technologies.