Predictive modeler
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Employer: | Allianz Services |
Domain: |
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Job type: | full-time |
Job level: | 1 - 5 years of experience |
Location: |
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Updated at: | 12.10.2018 |
Remote work: | On-site |
Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our strong global footprint, with around 6000 employees located across eight countries and four continents, enables us to unlock the full potential towards driving a superior client experience within Allianz Group.
Requirements
- Strong programming experience in Python is required. Experience with R and/or SAS is a plus
- Knowledge in software development orientation is a plus (agile, Git, Jira, continuous integration,…)
- Spark skills would be a plus
- Experience with databases and SQL language
- Fluency in English
- University degree in Statistics, Mathematics, Computer Science or any comparable quantitative discipline
Skills and Competencies:
- Good communication skills
- Basic presentation skills
- Team player
- Ability to work in international environment
- Ability to work under pressure
- Ability/willingness to travel abroad, if required
Experience
- Experience in applying modern machine learning and artificial intelligence models (supervised and unsupervised, such as gradient boosting and deep learning) in a business context
- Very good knowledge of data processing and data visualization
Job role
- Develop, maintain, improve and run predictive models for claims
- Current focus is on detecting potential fraudulent claims, subrogation potential and claims triage at first notice of loss.
Responsibilities
Within the analytics team you will work together with other data scientists on global projects regarding fraud detection, claims automation, claims subrogation and related topics in an international work environment.
- Producing daily scores for existing models (based on data in AGCS Claims systems and other data sources)
- Data plausibility checks/quality assurance & model validation
- Working with regional claims subject matter experts as required to explain models and receive inputs for improvements and extensions
- Support development of new Machine learning algorithms and models for prediction and improve existing models and extend them to further Lines of Business and Regional business units
- Utilizing verbal and critical thinking skills to gather information and data; making sound decisions based on a mixture of analysis and judgment
Benefits
Health and Well-being
- Kinetotherapy Room and Corporate Massage
- Weekly Fruit Day
- WorldClass Subscription
Personal and professional development
- Complete training curricula available (tailored courses)
- German Language Courses for any level
- All you can read with Bookster!
Extra Perks
- Work from Home Option available
- Get a free day on your Birthday or come at work and receive Gift Vouchers/Tickets!
- Go on Vacation and get a Holiday Bonus!
Attractive compensation package
- Fixed salary compensation along with rewards & incentives performance-related bonus scheme
- Meal and gift tickets
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