Top Software Engineer Jobs

As a Data Analytics Solutions Controller, Senior Associate at JPMorgan Chase, responsible for ensuring compliance and accuracy of financial statements filed with regulatory bodies. Manage relationships, lead strategic initiatives, and enhance controls through automation.

As a Summer Associate at the Machine Learning Center of Excellence, you will use advanced machine learning techniques in areas like NLP and reinforcement learning. Your role involves collaborating with mentors to solve business challenges and enhance organizational operations, requiring expertise in machine learning, deep learning, and statistical methods.

The role involves conducting research in computer vision and machine learning, providing innovative solutions to internal project teams, documenting findings in scientific papers, and contributing to intellectual property protections.

The Associate will collaborate with the Consumer & Community Banking team to build data monitoring and controls for Risk Decision Engines. Responsibilities include analyzing large data sets, supporting post-implementation validations, developing data quality rules, and automating reporting processes utilizing SQL, VBA, Tableau, and more.

Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management domain responsible for developing innovative software solutions, leading evaluation sessions, and driving technology advancements. Requires 10+ years of experience in software engineering, advanced proficiency in Python, and expertise in agile methodologies and cloud native technologies.

As a React Software Engineer III, you will design and deliver technology products, develop high-quality production code, create architecture for applications, and analyze data to improve systems. You'll contribute to software engineering practices and cultivate a team culture of diversity and inclusion.

As a Software Engineer II at JPMorgan Chase, you will work on enhancing, designing, and delivering software components with a focus on security and scalability. You'll write high-quality code, troubleshoot technical issues, and contribute to application decisions based on data analysis. You'll gain experience in full software development lifecycle methodologies, predominantly in Python or PySpark, while promoting a diverse team culture.