Top Tech Jobs & Startup Jobs

As a Senior Pricing Actuary, evaluate MGA opportunities for profitability, provide actuarial support, and collaborate with various teams to enhance services.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Design, implement, and operate secure, scalable multi-cloud infrastructure (Azure/AWS) with IaC (Terraform), managed Kubernetes, containers, and AI platform support. Lead complex projects, define operational processes, ensure security/compliance, mentor teammates, and maintain observability for production systems.

The Business Engagement Lead - Finance Operations ensures alignment between Finance and Technology, overseeing business requirements, product roadmaps, and stakeholder engagement while monitoring outcomes and driving technology investments to match business goals.

The Operations Specialist will manage operational procedures, oversee underwriters, ensure compliance, handle financial reporting, and improve internal controls while communicating with various teams.

The Operations Manager will oversee member onboarding, manage operational procedures, ensure compliance, resolve data queries, and improve processes in a fast-paced environment.

The Exposure Data Manager leads analytics to understand exposure patterns, enforces data standards, ensures data quality, and collaborates across departments for effective exposure management.

The Forward Deployed Data Solution Engineer works embedded within teams to ensure software quality, guide technical decisions, and design integration patterns, focusing on AI-enabled capabilities and data governance.