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Join an actuarial development program with rotating assignments in pricing, product design, reserving, modeling, profitability analysis, and risk quantification. Support actuarial exam progress, develop modeling assumptions, calculate reserves, analyze financial drivers, and contribute to special projects and process improvements.

Design, build, and maintain data transformations and models using SQL and dbt to support enterprise reporting and AI initiatives. Implement data quality controls, create analytics datasets, and collaborate with engineering and business teams to deliver trusted dashboards, metrics, and information products.

Own end-to-end decision intelligence product domains: build, deploy, and monitor ML models and behavioral signals; lead experimentation and causal measurement; develop generative AI solutions and personalization; partner with product and engineering to define roadmaps and reusable ML platform assets that drive measurable business outcomes.

Own front-end experience for Decision Intelligence products using React and TypeScript. Partner with product, design, and data teams to define vision, build reusable components and design systems, integrate APIs and model outputs, optimize performance, and deliver accessible, production-ready interfaces.

The Senior Associate will lead investment evaluations and due diligence, manage portfolio companies, and conduct market research and financial modeling for strategic investment opportunities.

Support SMA portfolio analytics by building forecasting and NAV/cash flow models, monitoring deployment pacing, performing benchmarking and attribution, ensuring data integrity, automating processes, and partnering with investment, client service, and operations teams to support reporting and scale the SMA platform.

Lead the competitive intelligence strategy in life insurance, offering insights on industry trends, competitor strategies, and market developments to inform product and corporate decisions.

Management-training role to prepare for General Office Operations Manager. Train in new-business administration, compliance, agent contracting/licensing, customer service, staff hiring/training, performance management, budgeting, and agent development. Completion of a 1–2 year structured program leads to eligibility for Operations Manager appointment.

Customer Service Representatives at New York Life engage with clients, handling inquiries and educating them about insurance products while providing excellent service. They maintain high performance metrics and participate in a paid training program to develop their skills.

Evaluate life insurance applications (up to $5M 2-year TAAR), assess complex medical and nonmedical mortality risk, make independent underwriting decisions, manage a portfolio of complex cases, consult with agents and reinsurers, mentor junior underwriters, and support process improvements and adoption of underwriting models and automation tools.