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Leads logistics and warehouse management for corporate and face-to-face financial operations. Responsibilities include supplier management, budgeting, invoicing and payment control, cost analysis, process improvement, standardization, AI and automation adoption, and RFI/RFP procurement initiatives. The role coordinates internal departments and external logistics, warehouse, and printing vendors while driving stable operations, quality improvement, cost reduction, and future operating model development.

Lead and evolve the enterprise AI risk and governance framework. Identify and assess emerging AI risks, translate them into governance and controls, run AI approval processes, provide second-line challenge to stakeholders, partner across functions to embed controls, and strengthen monitoring, transparency, and scalable governance for AI initiatives.

Supports daily business activities, research, data analysis, reporting, presentations, cross-functional projects, process improvements, and strategic initiatives within MetLife Investment Management. Participates in meetings, networking, training, and professional development while gaining exposure to investment management and business operations. The role requires strong analytical, organizational, communication, problem-solving, teamwork, and prioritization skills, along with proficiency in Microsoft Office. Candidates must be pursuing a bachelor's or master's degree and graduate between December 2027 and June 2029.

Drive sales growth, retention, renewals, and cross-selling for group insurance benefits across an assigned territory. Manage broker and client relationships through strategic account planning, stewardship meetings, quoting, implementation support, and post-sale consultation. Serve as a subject matter resource on benefits products and market trends while identifying profitable growth opportunities. Use AI-enabled tools, analytics, and digital solutions to improve prospecting, engagement, and sales effectiveness. Travel approximately 40% and work hybrid with at least three office days weekly.

Serves as a subject matter expert and administrator for enterprise procurement and workforce management platforms. Provides operational support, resolves escalations, leads UAT and enhancements, oversees integrations and data quality, supports contingent workforce processes, and advances governance and process improvement. Partners with Procurement, HR, IT, Security, and vendors while maintaining documentation, training materials, and operating procedures.

Manage complex PEO client relationships as the primary service contact, leading issue resolution, account reviews, strategic planning, audits, presentations, and tailored benefit solutions. Partner with sales, underwriting, billing, implementation, brokers, and operations to fulfill commitments and improve retention. Use AI-enabled tools, automation, reporting, and data insights to improve service efficiency and decision-making. Maintain accurate documentation, protect confidential information, monitor industry and regulatory changes, and mentor colleagues.

Develop, test, maintain, and support software solutions for MetLife’s Investments IT accounting team. Participate in Agile ceremonies, requirements clarification, documentation, testing, and low-risk production support while learning modern engineering practices. Apply AI, automation, cloud-native technologies, and DevSecOps concepts to improve processes and delivery. The role includes mentorship and growth toward full-stack engineering.

Plans and operates risk-based Testing & Monitoring programs across MetLife. Reviews testing plans and results, performs root-cause analysis, recommends improvements, and prepares reports for executives and global stakeholders. The role requires expertise in Japanese life insurance sales regulations, customer protection, sales and agency management, risk analysis, internal controls, and compliance. It also involves bilingual communication and collaboration across multiple departments.

Early-career analysts support institutional asset management through investment research, financial modeling, portfolio and transaction analysis, reporting, monitoring, data management, and process improvement. They collaborate with investment, risk, operations, technology, legal, compliance, and finance teams while developing analytical, financial, technical, and communication skills. Assignments may span fixed income, private credit, real estate, insurance asset management, client solutions, and investment operations.

Develop and maintain cloud-native full-stack applications using Java, Spring Boot, ReactJS, APIs, databases, Azure, and mobile technologies. Troubleshoot production issues, apply cloud and AI/data best practices, and collaborate with global teams in an Agile environment. Follow CI/CD and DevOps practices while contributing to digital transformation initiatives.