
at J.P. Morgan
Bulge Bracket Investment BanksPosted 12 days ago
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**Senior Software Engineer – Python (Numpy, Pandas)**: Masterfully design and deliver robust, secure, and scalable solutions. Assume a lead role in operations and architecture, with a focus on Python and numerical libraries. Leverage data-driven insights for continuous improvement. Minimum 3 years of proven experience in software development, strong Python proficiency, and a record of delivering large-scale projects. Familiarity with cloud technologies and statistical analysis is a plus.
- Compensation
- Not specified
- City
- Mumbai
- Country
- India
Currency: Not specified
Full Job Description
Location: Mumbai, Maharashtra, India
- Provides design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesRequired qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3+ years applied experienceStrong Python development skills and track record of successful delivery of large-scale projectsExperience using relational database systems such as Sybase, MS SQL Server or OracleGood understanding of the Software Development Life CycleExperience in developing, debugging, and maintaining code in a large-scale enterprise level applicationsStrong understanding of Data Structures, algorithms and its usesHands-on practical experience in system design, application development, testing, and operational stabilityDemonstrated relevant experience within tech or financial industriesSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityAbility to work effectively in a dynamic, fast-paced group that has several concurrent projectsCollaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answerPreferred qualifications, capabilities, and skills:
- Familiarity with shell scripting within UNIX environmentStrong understanding of mathematical concepts and statistical analysisGood 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.Apply now
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Software Engineer III Python/Numpy/Pandas
Compensation
Not specified
City: Mumbai
Country: India
ExperiencedNo visa sponsorship**Senior Software Engineer – Python (Numpy, Pandas)**: Masterfully design and deliver robust, secure, and scalable solutions. Assume a lead role in operations and architecture, with a focus on Python and numerical libraries. Leverage data-driven insights for continuous improvement. Minimum 3 years of proven experience in software development, strong Python proficiency, and a record of delivering large-scale projects. Familiarity with cloud technologies and statistical analysis is a plus.
Full Job Description
Location: Mumbai, Maharashtra, India
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 firms 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 problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsProactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesRequired qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and 3+ years applied experienceStrong Python development skills and track record of successful delivery of large-scale projectsExperience using relational database systems such as Sybase, MS SQL Server or OracleGood understanding of the Software Development Life CycleExperience in developing, debugging, and maintaining code in a large-scale enterprise level applicationsStrong understanding of Data Structures, algorithms and its usesHands-on practical experience in system design, application development, testing, and operational stabilityDemonstrated relevant experience within tech or financial industriesSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityAbility to work effectively in a dynamic, fast-paced group that has several concurrent projectsCollaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answerPreferred qualifications, capabilities, and skills:
- Familiarity with shell scripting within UNIX environmentStrong understanding of mathematical concepts and statistical analysisGood 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.
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