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Career Opportunities: Principal pricing Analyst (53853)

unlimited holidays - extra parental leave
Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Master’s or Bachelor’s degree in Actuarial Science, Statistics, Mathematics, or B.Tech with a strong academic background., Proven experience in pricing, particularly in the insurance sector, with a solid understanding of statistical modeling methods and machine learning techniques., Proficiency in programming languages such as R, Python, SAS, and SQL, along with experience in using actuarial software like RADAR or EMBLEM., Strong stakeholder management skills and the ability to communicate complex technical concepts to non-technical audiences..

Key responsabilities:

  • Assist in planning and executing risk model updates while continuously improving data and processes.
  • Collaborate with various teams to understand their data needs and expected modeling outcomes.
  • Analyze data, interpret results, and effectively communicate findings to non-technical stakeholders.
  • Build and test statistical models and machine learning algorithms, while supporting the deployment of data solutions within the business.

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Allianz Financial Services Large https://www.allianz.com/en.html
10001 Employees
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Job description

 

We are hiring!!

 

Are you a skilled actuary looking for an exciting opportunity in the Property and Casualty (P&C) (preferably Home/motor)  insurance sector?

We are seeking talented P&C Pricing Actuaries to join our dynamic team and help us drive our pricing strategies to new heights.

 

Role:

  • Pricing Analyst – 1 to 3yrs
  • Sr Pricing Analyst – 3 to 6yrs
  • Principal pricing Analyst – 6 to 12yrs

 

Location : Remote

 

Education: Master’s / Bachelor’ degree in Actuarial Science/Statistics/Mathematics/B.Tech with good academic background

 

Mandatory Skills: Core /technical pricing, RADAR/EMBLEM, R/Python, SAS

 

Essential:

  • Actuarial qualification is desirable
  • Significant pricing experience.
  • 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 or similar coding languages
  • Experience of Willis Towers Watson 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
  • Excellent working knowledge of actuarial methods and principles, ideally in a pricing context including the use of Actuarial software. Data science skills are preferable.
  • Experience of working in an insurance pricing role. An understanding of modelling techniques, including GLMs and GBMs and their application to insurance pricing.
  • Knowledge of price optimisation and the general insurance regulatory environment.
  • Proficiency in Excel and MS Office or equivalent applications.
  • Experience of planning and managing projects from inception to completion within business timelines.
  • Ability to manage and guide junior members in the team.

Desirable:

  • Excellent data handling skills using SAS and/or SQL. Experience in a data science programming language, preferably Python.
  • Knowledge of Agile project management processes.

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.


53853 | Actuarial | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow.

 

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Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Relationship Building
  • Teamwork
  • Communication

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