Top Data & Analytics Jobs

Creates and manages data connections, validates and transforms incoming portfolio data, and normalizes external datasets into Clearwater’s standardized format. Automates monitoring and reporting, integrates APIs and FTP connections, and improves auto-reconciliation through data analysis and process enhancements. Collaborates with Operations and Development, troubleshoots data-feed issues, documents workflows, communicates technical concepts to nontechnical stakeholders, and provides light on-call support.

Creates and manages data connections, validates and transforms client files, integrates external APIs and FTP feeds, and normalizes portfolio data into Clearwater’s standardized format. Monitors and automates daily processes, improves auto-reconciliation, resolves data issues, and implements operational enhancements. Communicates technical workflows to stakeholders, documents procedures, and provides light on-call support.

Lead and maintain clients' asset and reference data, validate investment data, manage data providers, mentor analysts, collaborate on reference data strategy, and ensure compliance with procedures and risk controls.

Build and maintain data pipelines, dashboards, and reports using Python, SQL, and BI tools. Analyze business and platform metrics, identify trends and data-quality issues, document reporting logic, and translate stakeholder requirements into actionable insights. Collaborate with business analysts, product owners, and engineering teams while supporting ad hoc reporting needs and improving analytical workflows.

The Staff Quantitative Developer will enhance risk analytics capabilities, develop pricing libraries and risk models, and mentor engineers while working with clients.

Load, validate, normalize, reconcile, and report client investment data using Excel, SQL, VBA, and Python. Work with development teams to automate and improve onboarding, apply accounting and securities knowledge, lead improvements, and coordinate complex activities within an agile environment.

Build and manage data connections, validate and normalize incoming portfolio files, automate monitoring and reporting, improve auto-reconciliation via data mining and transformations, support operations and development requests, and communicate technical solutions to non-technical stakeholders. Participate in light on-call duties.

Design, build, and maintain data connections and transformations, validate file deliveries, normalize external datasets, automate monitoring/reporting, improve auto-reconciliation, support operations and development, and communicate technical details to stakeholders.

The role involves improving reconciliation processes, training, project management, and providing expert guidance on data flow and reconciliation tools. Responsibilities include conducting training sessions, ensuring compliance, and leading automation initiatives.

Business Analysts identify opportunities for improved efficiencies, translate requirements into solutions, and collaborate with clients and development teams to enhance the OEMS platform.