Pension Risk Transfer Implementation Analyst

Location Designation: Hybrid - 3 days per week 

Role Overview: 

As a Data Analyst on the PRT Installation team, you will lead the setup, analysis, and reconciliation of complex participant data for group annuity contracts. You’ll ensure benefit accuracy, support system implementation, and collaborate with cross-functional teams to deliver a seamless client onboarding experience. This role combines technical precision with operational execution to help transform pension promises into secure retirement outcomes.

What You'll Do: 

• Lead the installation, setup, and maintenance of participant databases for single premium group annuity contracts, while conducting client meetings to communicate progress, address data issues, and align on project objectives
• Analyze and reconcile large, complex participant datasets using internal systems and Excel to ensure accuracy across actuarial, pricing, and policy systems.
• Calculate nonstandard items, which include lump sum illustrations, benefit split calculations for Qualified Domestic Relations Orders, and premium due or refund for participant census changes.
• Convert participant-level census data into a consistent format for use in pricing models.
• Act as a resource for the interpretation of group annuity contract provisions and related benefit quotations.
• Collaborate with business teams, actuaries, and IT — ensuring system integrity during installations and conversions.
• Identify opportunities to automate, streamline, or improve data and calculation workflows to enhance accuracy and efficiency.
• Partner with pricing, operations, and client teams to deliver accurate, high-quality installations for large institutional clients.
• Provide support and assistance to Customer Service team in responding to inquiries from participants, financial institutions, and clients to ensure a high level of service excellence.
• Provide responses to technical questions related to the claims and death processing and other functions for the PRT block of business.
• Understand and stay current with operational procedures.
• Participate in continuous improvement projects, testing initiatives, and process reengineering efforts that directly impact client outcomes.


What You'll Bring:

 
• 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.

Additional Requirements
• 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, data-driven solutions.
• Comfort working in a fast-paced, highly collaborative environment with exposure to senior leaders and cross-functional partners.

Professional Development and Growth
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.

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Pay Transparency

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.

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

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Job Requisition ID: 92776