Top Senior Level Data & Analytics Jobs

The Operations Trade Reporting Analyst at Marex will support and maintain operational systems and static data related to regulatory reporting processes, ensuring compliance with exchange and regulatory requirements across various asset classes. Responsibilities include monitoring reporting processes, assisting with system upgrades, ensuring compliance, and maintaining written procedures.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Senior Principal Scientist/Team Leader in Toxicology will lead a multidisciplinary team to conduct exploratory and regulated toxicology studies, provide scientific leadership, prepare regulatory documents, and enhance technical communication within the organization.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.

The Senior Data Analyst will evaluate the impact of iMentor's programs by gathering and analyzing data, creating reports and visualizations, and providing analytics support across departments. The role requires a focus on data quality and measurable outcomes to improve program effectiveness.

The Data Conversion and Migration Lead will oversee data migration activities, including developing data cleansing strategies, managing data migration security, and coordinating data validation efforts. This role involves supporting the transition to a new financial system, ensuring accurate data flow, testing migration plans, and documenting all activities.

As a Staff Data Engineer, you will lead the design of master data platforms, architect data models and processing solutions, and build end-to-end analytical solutions with a focus on scalability and performance. Responsibilities include developing data pipelines, collaborating with business leaders, and mentoring teams on complex data projects.