Top Tech Jobs & Startup Jobs

The Microsoft Cloud Infrastructure Engineer III at JPMorgan Chase is responsible for designing, engineering, and deploying services in Azure using automation tools and Infrastructure as Code (IaC). This role involves problem-solving technical issues, enhancing system monitoring, managing capacity risks, and collaborating with stakeholders to develop solutions.

As a Principal Data Architect, you will enhance the Data Lakehouse with modern cloud technologies, provide architecture solutions, develop data frameworks, and mentor other architects while collaborating with cross-functional teams to achieve data goals.

The Senior Associate in Financial Planning & Analysis will lead budgeting and forecasting processes, present financial analyses to executives, and develop sophisticated financial models. The role involves collaborating with various business partners to deliver timely and impactful financial reporting, while also conducting in-depth investigations into key business issues.

The Vice President of Global Data Strategy and Governance will develop and implement a comprehensive data strategy and governance framework, ensuring data is managed as a strategic asset. The role includes collaboration with stakeholders, leading teams for data insights, and setting governance standards for data sourcing and usage.

The Data Risk Control Manager will lead firmwide initiatives and manage regulatory engagements for the International Consumer Bank. Responsibilities include designing controls for operational risks, leading process improvements using technology, ensuring compliance with risk standards, and contributing to a resilient operational environment.

The Executive Administrative Assistant will support managers in Consumer and Community Banking by managing calendars, coordinating meetings, handling travel logistics, processing invoices, and producing high-quality communications. Strong organizational skills and discretion in confidential matters are essential. Interaction with senior management and various internal clients is frequent, requiring excellent communication abilities.

The Applied AI ML Lead will design, deploy, and manage LLMs for NLP tasks in financial services. Responsibilities include conducting research, collaborating with teams, building data pipelines, evaluating model performance, and integrating AI models into applications. The role demands strong programming and communication skills, alongside experience with cloud platforms and MLOps tools.