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Predictive Modeller
3 months ago
Your ambitions. Your dreams. Your tomorrow
Whether it's aircraft, international business or offshore wind parks Allianz Commercial has an extensive range of risks covered when it comes to protecting businesses.
We are looking for a Predictive Modeller - Pricing Analytics, based in London.
Your Team
The Pricing Analytics team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the use of Predictive Analytics within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago and New York.
The Impact You Will Have
Our global Pricing Analytics team is seeking a Predictive Modeller to build strong data driven pricing models for all Lines of Business across Allianz Commercial. This person will need to collaborate internationally with various stakeholders, both 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.
Some of your specific responsibilities could include:
- Build predictive pricing models across a variety of business lines at Allianz Commercial
- Present and communicate modelling results and recommendations to internal stakeholders
- Help to improve the overall technical analytics capabilities of the Pricing Analytics team
- Develop an expert knowledge of the company's data and data systems
- Work as part of a project team to drive forward the development of models
- 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
- Nearly/Qualified P&C Actuary preferable
- 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.
- 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 GIT 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
- Organised, self-motivated, results-oriented, collaborative and very resourceful
- Experience in an international working environment. Experience of working with colleagues located in different countries an advantage
What's in it for you?
Let's care about everything that makes you, you
We are committed to nurturing an inclusive environment where everyone feels they belong. We offer a hybrid working model, which recognizes the value of striking a balance between in-person collaboration and remote working. Please feel free to discuss flexible working arrangements with us.
Let's care for your financial wellbeing
We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension.
Let's care for your opportunities to progress
From career development and digital learning programmes to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
Let's care for life's twists and turns
From our support for flexible working, health and wellbeing (including private healthcare and generous parental leave benefits), to helping people return from career breaks with experience that nothing else can teach. We've got your back.
Let's care for our society and our planet
With opportunities to be engaged in shaping a future that is safe, inclusive and sustainable, we care for the tomorrows of our people, our industry and our clients.
Care to join us?
Allianz Commercial is the Allianz Group brand serving the world's largest consumer brands and major industry players through to family-owned enterprises forming the backbone of nations' economies. We bring together the corporate multinational business of Allianz Global Corporate & Specialty and the commercial business of national Allianz Property & Casualty entities and provide both traditional and alternative risk transfer solutions, outstanding risk consulting and Multinational services as well as seamless claims handling.
As a key strategic player in the Allianz Group network, Allianz Commercial is present in over 200 countries and in 2022 generated more than €19 billion gross premium.
Learn more about careers at Allianz Commercial by clicking here.
Learn more about Allianz Commercial by clicking here.
Allianz is an equal opportunity employer, and therefore welcomes applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability, sexual orientation or any other protected characteristic. Diversity of thinking is an important part of our culture.
People with disabilities:
We want to give all our candidates the best opportunity to succeed. If you need any adjustments to be made during the application and selection process, please email
Recruitment Agencies:
Allianz Commercial has an in-house recruitment team, which focuses on sourcing great candidates directly. Allianz Commercial does not accept unsolicited resumes from agency or search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired. When we do use agencies, we have a PSL in place, so please do not contact managers directly.
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