Senior Pricing Analyst

1 month ago


Pune, India Allianz Services Full time

Experience: 3+years


Required Skill Sets: Technical Pricing, RADAR, EMBLEM, SAS, Python, GLM



Role & responsibilities-


  • Solid knowledge of relevant statistical modelling methods – in particular GLMs
  • 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
  • Experience of software such as Radar or Emblem
  • 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
  • In addition you will be quick to learn, with the ability to prioritise activities and work accurately to tight deadlines, always remaining responsive to the needs of the business
  • Ideally you will hold a highly numerate degree, and have experience of applying your knowledge in a business environment. A background in General Insurance is essential.


The Details

  • 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.


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