Manager & Actuary, Individual Life Pricing

Munich Re; New York (NY); On-site; USD 178,000 - 198,000; Full time

Job summary

An established industry player is seeking a Manager & Actuary to lead pricing strategies for Individual Life reinsurance opportunities. This pivotal role involves evaluating new business models, setting assumptions, and refining pricing processes. With a strong focus on modeling software and actuarial analysis, the position promises to enhance your professional skills while contributing to innovative projects. Join a diverse and inclusive team that values empowerment and collaboration, and make a significant impact in the reinsurance sector. If you have a passion for actuarial science and a desire to drive change, this opportunity is perfect for you.

Benefits

PTO

Family Leave

Retirement Plans

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Employee Assistance Programs

Adoption Support

Wellness Programs

Qualifications

• 5+ years of actuarial experience in life insurance/reinsurance.
• Experience with pricing and product development.

Responsibilities

• Support the evaluation of IL reinsurance opportunities.
• Refine workbooks and templates for modeling support.

Skills

Actuarial Analysis

Pricing Models

Financial Modeling

Assumption Setting

Data Analysis

Education

Bachelor’s degree in Finance

Bachelor’s degree in Economics

Bachelor’s degree in Risk Management

Bachelor’s degree in Mathematics

Bachelor’s degree in Accounting

Tools

Moody’s Axis

Modeling Software

Job description

Manager & Actuary, Individual Life Pricing

This Manager & Actuary plays a significant role in evaluating and pricing Individual Life (IL) reinsurance opportunities. Specifically, this position assists the lead pricing actuaries by setting and peer reviewing assumptions used to price various opportunities. This role requires substantial technical expertise and developing knowledge of individual life insurance.

Your Job

1. New Business Modeling & Assumption Setting – Support the evaluation of IL reinsurance opportunities, including new business and improvements to existing business. Responsibilities include:

• Review information provided by clients
• Build pricing models based on assumptions from lead pricing actuaries or by setting assumptions
• Run projections, analyze, and summarize results
• Document and organize pricing models and files

Modeling Process Improvements & Cross-Training

• Refine workbooks and templates for modeling support
• Support analyst training by leading Best Practice meetings

Special Projects

• Lead modeling and analysis for technical projects like Principal Based Reserves and Large Claims Analysis
• Handle other ad hoc requests

Your Profile

• Bachelor’s degree in Finance, Economics, Risk Management, Mathematics, or Accounting
• 5+ years of actuarial experience in life insurance/reinsurance industry
• Pricing and product development experience required
• Experience with modeling software and interpreting results
• Moody’s Axis experience preferred

Benefits & Culture

We offer diverse benefits including PTO, family leave, retirement plans, dental and vision, life and disability insurance, employee assistance, adoption support, wellness programs, FSA/HSA plans, and additional insurance options.

At Munich Re US, we foster diversity and inclusion to reflect and serve our communities. We aim for an inclusive culture where everyone feels respected, valued, and empowered. We are an equal opportunity employer, and accommodations are available for individuals with disabilities.

We engage fully to help humankind act braver and better.

As a global leader in reinsurance with over 40,000 employees worldwide, Munich Re is committed to innovation and diversity. We embrace different perspectives to deliver the best solutions for our clients.

Compensation

For New York City-based employees, the anticipated salary range is $178,945 - $197,782, plus potential annual bonuses. Actual salaries depend on skills, experience, and internal comparisons.

Only candidates selected for interviews will be contacted. Thank you for your interest.