Credit Reinsurance Pricing Lead

Primary Details

Time Type:
Full time
Worker Type:
Employee

The Opportunity:

The position is responsible for providing expert actuarial advice to support sustainable and profitable pricing decisions across assigned products and portfolios, with a focus on QBE Re’s Credit business. The role leads the development, review, and governance of pricing methodologies, models, and tools for various Credit lines, including Political Risk, Trade Credit/Whole Turnover, Surety, Mortgage as well as credit asset classes that include Trade Credit, Project Finance, Structured Credit, Leveraged Finance, Fund Finance, Real Estate Finance and bespoke credit portfolio structures including CLOs and SRTs.

This position is responsible for ensuring alignment with business strategy, risk appetite, and actuarial standards.

This position acts as a key partner to Underwriting, Claims, and Finance, translating complex actuarial analysis into clear pricing insights, and ensuring that pricing decisions are technically sound, commercially relevant, and appropriately governed.

• Location:
  
  New York, NY
• Work Arrangement:
  This role is hybrid, where you will be expected to be in the office 2-3 days per week.
• Salary range for this role is: $ - , depending on experience

• Analyze and price credit reinsurance treaty business or ad-hoc case pricing for bespoke credit reinsurance business and ensure conclusions and recommendations are analytically robust and clearly supported by data and models.
• Present complex analyses in a clear, structured manner to both technical and non‑technical audiences.
• Provide support to underwriters to negotiate terms and structures to meet business goals. This may involve supporting underwriters in broker meetings and calls.
• Maintain and continuously improve credit actuarial methodologies, models, and reporting practices reflective of current credit and geopolitical risk trends
• Develop monitoring and ad‑hoc reporting to track pricing performance, profitability, and variance from expectations.
• Perform deep‑dive portfolio and product analyses, identifying performance drivers, trends, and emerging risks.
• Work with the Head of Credit Reinsurance to proactively identify and evaluate opportunities to improve portfolio mix, pricing actions, and underwriting strategies.
• Contribute to business planning and forecasting.
• Build and maintain strong internal and external stakeholder relationships, delivering timely, relevant, and actionable insights. Internal stakeholders include underwriting, claims, finance and senior leadership.
• Foster a culture of technical excellence, accountability, and continuous improvement within the pricing function.

Understanding of various Political Risk and/or Credit (re) insurance classes or product knowledge across asset classes: corporate credit, real estate, fund finance, project finance, mortgage finance, structured credit, sovereign lending, emerging markets, Surety.

• Progressive experience within actuarial or similarly quantitative career, preferably with exposure to pricing Property and Casualty insurance and/or reinsurance.
• Solid background in (re) insurance, including reserving and/or pricing with a specialization in financial risks or forecast modelling using rating scales and corporate or sovereign default probabilities.
• Experience in developing and modifying pricing models.
• Experience working independently and in teams.
• Experience presenting technical work products to technical and non-technical audiences.
• Knowledge of programming tools such as VBA, SQL, R, Python

• Actuarial qualification or progress toward qualification is strongly preferred (e.g., FCAS, ACAS, FIA, IFOA, or equivalent), where applicable (or equivalent relevant qualifications such as MBA and/or CFA).
• Tertiary degree in actuarial science, mathematics, or related quantitative discipline (or equivalent experience).

The salary range for this role is provided above. This is the national range for location(s) listed. The salary offer will be decided based on the role's complexity, its location, and the candidate’s professional background, including their education and experience. Beyond…