Lead Credit Reinsurance Pricing & Analytics

QBE North America; New York (NY); Hybrid; USD 188,000 - 282,000; Full time

Benefits offered by this job

Hybrid Working

Family Leave

401(k) Matching

Well-being program

Tuition Reimbursement

Employee Networks

Job summary

QBE North America is seeking an actuarial pricing expert to lead pricing methodologies and models for Credit lines, including intricate portfolios and bespoke structures. The role partners with Underwriting, Claims, and Finance to translate complex analyses into actionable insights.

Hybrid in New York, 2–3 days in the office weekly, with a salary range of $188,000–$282,000 depending on experience. The ideal candidate will drive governance, enhance models, and influence portfolio decisions while

Qualifications

• Actuarial qualification or progress toward qualification is strongly preferred, or equivalent qualifications such as MBA/CFA.
• Tertiary degree in actuarial science or related quantitative discipline.

Responsibilities

• Analyze and price credit reinsurance treaty business or bespoke pricing with robust data support.
• Present analyses clearly to technical and non-technical audiences.
• Support underwriters to negotiate terms and structures to meet business goals.
• Maintain and improve actuarial methodologies, models, and reporting for credit risk.

Skills

Actuarial Qualification

Analytical Thinking

Conflict Resolution

Critical Thinking

Decision Making

Financial Products

Stakeholder Management

Risk Management

SAS

Project Scoping

Performance Management

Problem Solving

Education

Actuarial Science Degree

Tools

VBA

SQL

R

Python

Job description

QBE North America is seeking an actuarial pricing expert to lead pricing methodologies and models for Credit lines, including intricate portfolios and bespoke structures. The role partners with Underwriting, Claims, and Finance to translate complex analyses into actionable insights.

Hybrid in New York, 2–3 days in the office weekly, with a salary range of $188,000–$282,000 depending on experience. The ideal candidate will drive governance, enhance models, and influence portfolio decisions while