Pricing Analyst - Actuarial & Data Analytics

MS Reinsurance; New York (NY); On-site; USD 100,000 - 140,000; Full time

Job summary

MS Reinsurance in New York seeks a Pricing Analyst to assist the pricing actuaries with model requirements, calibration, and case pricing, collaborating with pricing and actuarial teams.

You will manipulate data, validate rate changes, and contribute to pricing model development and portfolio pricing statistics. The role requires a university degree in math/CS/physics, 2 CAS exams, and 2–3 years of relevant experience, with strong Excel/VBA/SQL and Python/R skills.

Qualifications

• University degree in math, computer science, physics or similar.
• At least 2 CAS exams passed and progress towards ACAS/FCAS.
• 2–3 years of relevant work experience.
• Experience with reinsurance pricing preferred.
• Experience working with ISO/Verisk data products preferred.
• Strong IT skills: MS Excel, VBA and SQL desirable.
• Knowledge of data visualization tools (Power BI or QlikView) and programming (R or Python) desirable.

Responsibilities

• Deliver timely and accurate actuarial input for underwriting decisions and financial targets.
• Produce draft pricing results with explanations of cost drivers and movements.
• Review and validate rate change calculations within the pricing framework.
• Develop understanding of pricing models and contribute to future model development.
• Assist in producing and validating portfolio pricing statistics.
• Collaborate with pricing and actuarial teams on analyses.
• Support other pricing team activities as needed.

Skills

Data analysis

Quantitative analysis

Communication

Self-management

Team collaboration

Education

University degree in math/CS/physics

Tools

MS Excel

VBA

SQL

Power BI

R/Python

Job description

MS Reinsurance in New York seeks a Pricing Analyst to assist the pricing actuaries with model requirements, calibration, and case pricing, collaborating with pricing and actuarial teams.

You will manipulate data, validate rate changes, and contribute to pricing model development and portfolio pricing statistics. The role requires a university degree in math/CS/physics, 2 CAS exams, and 2–3 years of relevant experience, with strong Excel/VBA/SQL and Python/R skills.