.

The successful candidate will play a key role in planning and delivering models and analysis that underpin the prices we take to market. This work will require a good understanding of both statistical modelling methods and more innovative machine learning techniques.

Required Skill Sets: Technical/ Core Pricing, RADAR, EMBLEM, SAS, Python, GLM, Commercial Property pricing

Experience: 2 to 4yrs

Qualification, Experience and Skills:

• Bachelor’s / Master’s degree in Actuarial Science/Statistics/Mathematics
• Solid knowledge of relevant statistical modelling methods – in particular GLM
• Hands on experience in RADAR and EMBLEM, Radar for pricing modelling and Emblem for demand models build
• Knowledge of relevant machine learning techniques – in particular GBMs
• Proven experience in working with large data sources
• Good command of Python, SQL, SAS, Databricks or similar coding languages
• Good communication skills, both verbal and written (French & English), with ability to interact with customers from different geographical areas
• Good understanding of the various elements of a Technical Price, including business expenses, other costs and actuarial/inflation assumptions
• Good stakeholder management skills, including communication, expectation management and the ability to convey technical concepts to a non-technical audience.
• Ability to build and maintain relationships throughout both the Pricing Department and the wider business.

Your role will vary day to day, but here is a bit of what you can expect:

• Assist in planning and carrying out risk model updates – continually looking to improve data and processes
• Work with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes
• Get hands-on with data from its source right through to modelling and then implementation in rating
• Analyse data, interpret output and communicate results to a non-technical audience
• Build and test Statistical models and machine learning algorithms
• Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models
• Support the business in the deployment of its data solution
• Assist in coaching and developing other colleagues within the team to ensure constant up-skilling