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The Quantitative Research Data Engineer Vice President will work on designing, analyzing, and delivering firm-wide data to support Wholesale Credit Stress models. Responsibilities include data engineering, data analysis, collaborating with stakeholders, and working through the SDLC. Required qualifications include a Bachelor's or Master's in Computer Science, 7+ years of experience, strong skills in SQL and Python, and experience in data architecture and data engineering in financial services.
The Senior Lead Software Engineer role involves enhancing, building, and delivering technology products, focusing on cloud identity management solutions. Responsibilities include providing technical guidance, mentoring teams, developing secure production code, and ensuring compliance with security regulations while staying updated on cloud technologies.
Lead technical design, architecture, and implementations of solutions for AWS Contact Center transition. Mentor engineers, design Amazon Connect applications, troubleshoot, and strategize observability.
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As a Sr Lead Software Engineer, you will develop and deliver innovative cloud-native microservices for JPMorgan Chase’s digital bank, focusing on the entire software development life cycle. You will leverage Java and other JVM languages to design, implement, and support technical solutions, while collaborating with diverse teams and mentoring junior staff.
As a Senior iOS Mobile Applications Engineer at JPMorgan Chase, responsible for providing technical guidance, developing high-quality production code, driving product design decisions, and contributing to the engineering community. Must have 5+ years of experience, advanced knowledge of iOS development, and the ability to work independently on design and functionality problems.
Apply sophisticated machine learning methods to banking applications including risk assessment, trading models, customer relationship management, and pricing models. Collaborate with various lines of business within JP Morgan to develop scalable tools leveraging machine learning and deep learning models for real-world problems in finance, economics, and operations. Lead projects in developing production-level machine learning applications.
Lead the execution of AI solutions in Securities Services Operations, construct robust and scalable AI functionalities, work with software engineering teams, collaborate with business domain experts, refine machine learning models, stay updated with AI trends, offer technical mentorship, and disseminate best practices.
As a DevOps Engineer at JPMorgan Chase within the Nutmeg Digital Wealth Management, you will be responsible for maintaining a Kubernetes on AWS platform, advocating good practices, standardizing deployment, and collaborating with stakeholders to understand platform requirements. Required qualifications include experience with automation/deployment environments, managing Kubernetes clusters, coding in Python/Go, and knowledge of observability tooling. Preferred qualifications include systems and database experience, scalable technologies knowledge, and a passion for learning new technologies.
Lead Software Engineer role at JPMorgan Chase within the Asset & Wealth Management Data Analytics Instrument Team. Responsibilities include executing software solutions, developing high-quality code, analyzing data sets, mentoring team members, and driving adoption of new technologies.
As a Manager of Software Engineering, you will lead multiple teams in implementing software solutions, ensuring compliance with business requirements, and fostering team collaboration. Responsibilities include managing stakeholder relationships, coaching team members, and promoting a diverse and inclusive work environment.
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