Senior Associate

Overview

Job Requisition

Location Designation: Fully Onsite

Location
: 44 South Broadway, White Plains, New York 10601 (fully in office)

Offered Wage
: $118,248/year

• Senior Associate to leverage financial planning, risk management, advanced financial modeling, risk analysis, and strategic planning to analyze master projection model usage and perform in-depth analysis of investment performance.
• Conduct monthly portfolio cost analysis to set credit rates by contributing to derivative and cashflow models, gathering data from other groups, and generating scenario analyses.
• Enhance strategic planning for asset liability management (ALM) by managing risks associated with investment portfolios and asset liquidity.
• Improve workflow processes and elevate efficiency by migrating portions of model input and output from Excel to Python, eliminating manual data manipulation and running models.
• Complete ad hoc requests, including portfolio yields scenario analysis and investment costs to set credit rates for multiple product lines.

• Master’s degree in Enterprise Risk Management, Actuarial Science, Financial Engineering, or related field (willing to accept foreign education equivalent) plus one year of experience as a Senior Associate or related occupation in a data or quantitative role developing and analyzing financial models with insurance related experience, or
• Bachelor’s degree in Enterprise Risk Management, Actuarial Science, Financial Engineering, or related field (willing to accept foreign education equivalent) plus three years of experience as a Senior Associate or related occupation in a data or quantitative role developing and analyzing financial models with insurance related experience.
• Specific skills/requirements (quantitative experience requirements not applicable to this section): input data into financial model using SQL and Excel; leverage Python and Excel VBA models to perform complex calculations, ensuring consistency and accuracy in the output of monthly crediting rates; integrate trend and factor changes (e.g., credit spreads, interest rate fluctuations) into models; identify trends, anomalies, and potential areas for optimization;
  
  develop and improve financial model automation and implement additional data validation checks, error-handling mechanisms, and control frameworks to minimize operational risks;
  Microsoft Excel Macro and VBA, Python and SQL, Tableau, and professional knowledge of insurance industry; risk expertise including Risk Reporting (RCSA, KRI, Risk Heatmap, Gap analysis, Risk metrics) or Risk Modeling (VaR, ES, Risk Exposures).

• Eligible for Employee Referral Program.
• Pay transparency:
  Overtime eligible:
  Exempt;
  Discretionary bonus eligible:
  No;
  Sales bonus eligible:
  No.
• Actual base salary will be determined based on several factors including experience, skills, qualifications, and job location. Employees may be eligible for an annual discretionary bonus and may 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 impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you’ll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what’s next, and your growth powers it.

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. To discover more…