Top Data & Analytics Jobs

The Commercial Application Scientist supports revenue and margin attainment through technical sales assistance and account management. Responsibilities include client discovery, proposal development, and collaboration with Client Executives and Scientists to identify solutions for client needs.

The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.

The Research Computer Scientist will lead research in digital design and computing, focusing on ASICs and FPGAs. Responsibilities include developing high-speed communication mechanisms, collaborating on custom EDA tools, and participating in all phases of the ASIC development lifecycle. The role involves publishing research and contributing to proposal efforts within a collaborative team.

As an Associate Scientist I, you'll prepare high-throughput sequencing libraries, conduct DNA sequencing, maintain DNA analyzers, and communicate with customers. You'll utilize your molecular biology knowledge and gain new skills while ensuring quality in a fast-paced NGS laboratory.

The Cloud Data Architect provides technical leadership in cloud computing and automation, focusing on system and service design on cloud platforms. Key responsibilities include developing enterprise data architecture, implementing cloud-based analytical platforms, and supporting data delivery teams. The role ensures critical applications are optimized for business needs and high availability, while maintaining cloud governance and driving best practices.

The Credit Analyst I position involves analyzing corporate and individual financial statements, underwriting loans, ongoing financial performance analysis, and ensuring compliance with banking regulations. The role requires communication with associates, managing credit requests, and participation in training programs.

The role involves developing quantitative fixed income and equity pricing models within the Investment Analytics Group, analyzing risk analytics systems, and managing an internal analytics library. The candidate will work with senior quants on various financial products and facilitate communication to resolve risk and financial issues.