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Senior Predictive Modeller

https://www.allianz.com Logo

Allianz

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Location:
Romania, Bucharest

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Category:
Finance

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are seeking an experienced Predictive Modeller to build strong data driven pricing models and for all Lines of Business across Allianz Commercial. This person will also support other team members in building predictive models, collaborating internationally with various stakeholders within Global Pricing and across other Allianz Commercial functions. Furthermore, this individual will support strategic Allianz Commercial projects, such as developing and driving data driven approaches to portfolio management.

Job Responsibility:

  • Build predictive pricing models across a variety of business lines at Allianz Commercial
  • Present and communicate modeling results and recommendations to internal stakeholders
  • Help to improve the overall technical analytics capabilities of the Pricing Analytics team
  • Drive the use of analytics to steer portfolios within Allianz Commercial by developing new approaches and successfully selling them to the business
  • Develop an expert knowledge of the company’s data and data systems
  • Function as a project lead, manage projects and mentor junior modellers

Requirements:

  • 5+ years’ experience in building and implementing predictive models in the insurance industry, preferably for P&C commercial lines
  • Strong knowledge of P&C insurance and pricing techniques
  • Nearly/Qualified P&C Actuary preferable
  • Advanced degree in a quantitative field desirable, preferably with significant emphasis on statistical modelling or machine learning, e.g. Statistics, Data Science, Machine Learning, Computer Science or a related field
  • Hands-on understanding of a wide range of classical and modern statistical and machine learning methods such as GLMs, decision trees, ensemble and regularization techniques etc. Experience with Bayesian approaches desirable
  • Experience building and validating models using statistical software (Python, R, Emblem, SAS etc.)
  • Ability to work efficiently and effectively with large data sets from a variety of sources, including both internal and external data
  • Strong SQL programming skills required
  • Experience with version control tools such as GitHub desirable
  • Demonstrated ability to effectively interpret data and modelling results, and to then communicate them to audiences with differing levels of technical understanding
  • Ability to express ideas and messages clearly, both written and verbally
  • Proven track record of training up others in predictive modelling related skills and programs
  • Skilled in project management
  • Organized, self-motivated, results-oriented, collaborative and very resourceful
  • Committed to personal development and passionate about continually learning new technical skills

Nice to have:

  • Experience with Bayesian approaches desirable
  • Experience with version control tools such as GitHub desirable
What we offer:
  • Access to counseling services, mental health resources, and well-being sessions designed to keep you feeling your best
  • Monthly budget via the Benefit platform, for personalized benefits packages, including comprehensive medical subscriptions, meal tickets, private pensions plans, life insurance, Allianz Tiriac insurance discounts, and many more
  • Time off for your birthday, extra days off for each year in Allianz (up to 5), days off for legal holidays that fall on weekends, as well as 24th and 31st of December, plus special allowances to support diverse life events
  • Extensive learning curriculum designed to support your career advancement and meet your professional needs, with access to technical and soft-skills trainings, international certifications (Agile, Lean Six Sigma, Prince, ITIL, IFOA, ACCA, IACCM and more), learning resources from LinkedIn and Allianz platforms, opportunities to advance your languages skills(German, French, English) and elevate with our leadership Program
  • Performance based-rewards to celebrate your achievements, team and individual recognition programs to celebrate your contributions and internal referral bonuses

Additional Information:

Job Posted:
May 07, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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