Top Data & Analytics Jobs

Lead business analysis and product delivery for AML analytics: develop strategy, translate analytics and ML into products, sequence and oversee multiple projects, partner with Tech/Model Risk/LOB, mentor analysts, and present complex technical work to senior stakeholders.

The role involves innovating data solutions, managing data quality, and providing business intelligence insights, utilizing various scripting languages and AWS services.

As a Senior Lead Data Engineer, you'll lead development teams, design technical solutions, utilize big data and cloud technologies, and drive transformation initiatives.

The Sr Manager, Data Analysis leads analytical tool validations, manages projects, mentors staff, and influences business strategies through data insights.

The Senior Associate will perform compensation analysis, collaborate on data products, conduct market analysis, and support compensation cycles.

Lead the design and implementation of technical solutions using big data technologies. Collaborate with teams to deliver cloud-based data solutions and support Agile practices.

The Principal Associate will define business solutions, translate requirements into technical deliverables, and support the Agile implementation of cloud-based treasury applications, ensuring data integrity and system efficiency.

The role involves strategizing and managing Data Annotation Operations, improving processes, leading teams, ensuring compliance, and collaborating across the organization.

Lead Card Technology Analytics to convert developer telemetry into executive insights, measure developer productivity, assess AI tooling impact, govern delivery health, model capacity and financial tradeoffs, and manage a cross-functional analytics team to drive tooling and process decisions.

Lead design and build scalable, low-latency, fault-tolerant data platforms and pipelines. Mentor engineers, influence data architecture and governance, build analytics stores using big-data and cloud technologies, collaborate with product and security teams, and ensure CI/CD, resiliency, testing, and performance for data-driven solutions.