Top Tech Jobs & Startup Jobs

Drive and manage recruitment activities for an assigned sector to meet monthly targets. Coach agency leaders, run briefings, plan sourcing initiatives, support recruitment events, maximize exam slot usage, and convert guests to recruits through pipeline tracking.

Lead the implementation of customer and distributor lifecycle journeys, manage user acceptance testing, develop processes, and collaborate across various business functions to ensure a superior customer experience.

The Manager, Talent Acquisition will lead end-to-end recruitment efforts, support hiring strategies, and collaborate with business leaders to attract talent while ensuring a great candidate experience.

Oversee multimedia marketing personnel, manage sales processes, provide training, allocate customer resources, and track performance to achieve team goals.

The Head of Product Innovation & Proposition will lead product strategy development, identifying innovative opportunities and utilizing data insights to create competitive insurance solutions. Responsibilities include optimizing strategy, collaborating with teams, and presenting analyses to support decision-making.

The internship involves basic actuarial modeling, result analysis, data manipulation, system testing, documentation preparation, and organizational tasks for actuarial data.

Ensure the accuracy of investment transactions for regulatory compliance, manage accounting records, and support investment activities aligned with guidelines.

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Lead design, scaling, and governance of an agentic AI workforce across Operations by combining RPA and AI. Develop and deploy co-pilot bots, build forecasting models for workload planning, define AI rules and assurance frameworks, and advise senior leaders on scalable AI use cases and investment decisions.