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Property Pricing Actuary FTC – 28429

The Emerald Group

London

On-site

GBP 50,000 - 80,000

Full time

30+ days ago

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An established industry player is seeking a pricing actuary to collaborate with underwriting teams and enhance pricing models. This role focuses on developing exposure rating models for underwriting, assessing profitability of complex accounts, and adapting pricing strategies to evolving market needs. The ideal candidate will be a qualified actuary with experience in the Lloyd’s syndicate or London Market, proficient in Python and SQL. Join a dynamic team where your expertise will directly influence pricing processes and contribute to the success of the organization.

Qualified Actuary with pricing experience in Lloyd’s syndicate or London Market.
Proficiency in Python and SQL for pricing systems.

Develop exposure rating models for underwriting and portfolio management.
Update pricing models to adapt to market conditions.

Actuarial Qualification

Pricing Experience

Portfolio Management

Python

SQL

SAS

Qualified Actuary

Python

SQL

SAS

The pricing actuary will work closely with the head of pricing to develop pricing models and processes, underwriting teams, gaining first-hand insight to all stages of the pricing process.

Location: London
Type: Fixed Term

Key Duties (Including but not limited to):

The focus will be on developing exposure rating models for day-to-day underwriting, as well as individual account pricing and portfolio management.
Pricing and assessing profitability of large and complex accounts, as referred by underwriters.
Updating pricing models to meet underwriters’ changing needs and evolving market conditions.

Minimum Requirements:

Qualified Actuary.
Pricing experience with Lloyd’s syndicate, London Market insurer or broker.
Experience working directly with underwriters on account pricing and portfolio analysis.
The Company makes heavy use of Python and SQL for its pricing system. Proficiency in R, Python or C# would be beneficial, as well as a database language such as SQL or SAS.

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