Teams at New York Life Insurance Company

Team
New York Life Insurance Company Finance Team

New York Life’s Finance team helps support the company’s long-term financial strength through planning, analysis, reporting and strategic decision-making. Team members work across areas such as accounting, financial planning, expense management and business finance, partnering with leaders throughout the organization. Employees can also build broader experience through mentorship, leadership development, learning programs and opportunities to move across finance functions as their careers grow.

Team
Artificial Intelligence & Data

New York Life’s Artificial Intelligence & Data (AI&D) team uses data, machine learning and AI to improve decisions and experiences across the company. The team brings together data scientists, AI and machine learning engineers, product managers and data specialists who work with business and technology partners to develop enterprise AI and data products. Current work spans predictive analytics, generative and agentic AI, data platforms, model governance and responsible AI, with applications designed to improve efficiency and support clients, agents and employees.

Team
Client Services

New York Life’s Client Services team supports both the company’s financial professionals and its policy owners, helping people navigate products, transactions and service needs throughout the customer relationship. Team members work across areas such as policy and account support, issue resolution, transaction processing and institutional client service, often partnering with operations, sales and other internal teams. The work combines relationship-building with detailed product knowledge, accuracy and responsiveness, with training and coaching designed to help employees build expertise and grow within service-focused roles.

Team
Technology

New York Life’s Technology team builds and maintains the digital systems that support policy owners, agents, advisors and employees. Software engineers work across areas such as application development, cloud platforms, DevOps, enterprise architecture and emerging AI-enabled products. As part of the broader Technology, Data, AI & Ventures organization, the team focuses on modernizing core systems, building secure and scalable platforms and turning new technologies into practical tools that improve how the company operates and serves customers.

23 Hours AgoSaved
In-Office or Remote
New York, NY, USA
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manages an assigned long-term disability claims caseload by evaluating eligibility, reviewing medical and contractual information, calculating benefits, and making timely claim decisions. Develops strategic case plans, communicates with customers, employers, physicians, attorneys, and vocational counselors, and facilitates return-to-work opportunities. Maintains claim documentation, meets service and performance standards, follows compliance procedures, and handles complex customer interactions while coordinating with internal clinical and business partners.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Supports real estate asset managers with property valuations, lease analysis, hold/sell models, JV waterfall calculations, budgets, performance reporting, capital reconciliations, due diligence, and investment committee materials. Reviews property and partner financial reports, coordinates external consultants and market data providers, assists with acquisitions and dispositions, and maintains valuation and performance models using Excel and Argus Enterprise. The role also involves stakeholder communication, market networking, and limited regional travel.
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Finance interns support NYL Direct with journal entries, account reconciliations, variance research, financial reporting, documentation, testing, close activities, controls, ad hoc analysis, and process improvement. They collaborate with finance professionals, participate in special projects and case studies, and present their work while engaging in professional development and networking activities.