Pension Risk Transfer - Data Analyst

Location Designation

Hybrid - 3 days per week

At New York Life, our Pension Risk Transfer (PRT) business helps institutions secure the retirement futures of thousands of individuals. As part of the PRT Installation team, you’ll transform complex pension data into lasting financial security. You’ll play a vital role in ensuring every participant’s benefit is calculated accurately, every system functions seamlessly, and every client experience reflects the trust they’ve placed in New York Life.

• Lead the setup and maintenance of participant data for group annuity contracts; manage client meetings to track progress and resolve data issues.
• Analyze and reconcile large participant datasets to ensure alignment across actuarial, pricing, and policy systems.
• Calculate complex benefit illustrations such as lump sums, QDRO splits, and census-based premium adjustments.
• Standardize and convert census data for use in pricing models and system configurations.
• Interpret group annuity contract provisions and support Service team in benefit quotation processes.
• Collaborate with actuaries, IT, and business partners to ensure system accuracy during installations and conversions.
• Support service teams with participant inquiries and technical questions, including claims and death processing.
• Contribute to process improvements, system testing, and continuous enhancement initiatives to support installation efficiency.

• Bachelor’s Degree required; strong analytical and quantitative aptitude.
• 2+ years of experience in data analysis, actuarial support, or financial operations — or a strong quantitative background with demonstrated problem‑solving skills.
• Strong oral and written communication skills. Must be able to effectively communicate with various internal/external clients and teams at different levels.
• A positive attitude and a willingness to work as a member of a close-knit team.
• Knowledge of, or a desire to learn, the provisions of group annuity contracts and ability to interpret them and perform related mathematical calculations.
• Accountable, ethical, good decision‑making ability.
• Proficiency with Excel and data reconciliation required; familiarity with programming or database tools (SQL, Python, or similar) a plus.
• Experience with defined benefit pension plans a plus.
• Display an interest in understanding how pension promises are transformed into secure lifetime income.
• Ability to take the lead on specific projects.
• Ability to work independently while remaining flexible to meet team goals.
• Proactive in identifying issues and developing creative solutions.
• Comfort working in a fast‑paced, highly collaborative environment with exposure to senior leaders and cross‑functional partners.

This role provides a strong foundation for future career growth within New York Life’s Institutional Annuities business. You will:

• Gain deep expertise in institutional annuity products and pension plan structures.
• Be exposed to experienced actuaries, data engineers, and client relationship managers.
• Build both technical and leadership skills in a high‑impact business that continues to expand rapidly in scale and strategic importance.

You’ll be part of a purpose‑driven team committed to helping institutions deliver on their retirement promises. You’ll combine analytical precision with operational excellence — and see firsthand how your work translates into real financial security for retirees across the country.

Salary Range: $60,000-$80,000

Overtime eligible:
Exempt

Discretionary bonus eligible:
Yes

Sales bonus eligible:
No

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

At New York Life, our 180‑year legacy of purpose and integrity fuels our future. As we evolve into a more technology‑, data‑, and AI‑enabled organization, we remain grounded in the values that drive lasting…