Senior Risk Modelling Specialist 80-100%
In this role based in Zurich, you will be part of the Capital and Risk Methodology team in Group Risk Management. In this crucial and dynamic role, you will lead the development of the Group’s Swiss Solvency Test (SST), Zurich Economic Capital (Z-ECM) and Solvency II risk type internal models and support the development of other models, which play a key part in business decisions.
You will also interact with multiple departments across the organization as a Risk Type Model Owner including input providers, other Group functions and business units as well as externally with the regulators responsible for approving the internal model.
What you will do
Lead the development of quantitative risk models (SST / SII / Z-ECM), ensuring they are robust, transparent, aligned with best practices and compliant with relevant regulatory frameworks
Monitor and assess the performance of the models and recommend adjustments as necessary to update and maintain risk models
Identify the assumptions, assess the calibration methodology for suitability, and implement necessary improvements
Further drive the embedding of various quantitative frameworks of the Zurich Group
Ensuring model data is appropriate, robust and complete and models are run in a well-controlled environment
Be responsible for relevant methodology documentations
Be responsible for producing, analyzing and reporting model results including improving relevant analytics and tools
Provide input to the assessment of sensitivities, scenarios and stress tests
Collaborate closely with senior management and other Group functions to support management in risk-based and economic decision making as well as the Z-ECM and SST reporting activities
Interact with FINMA and European regulators with regards to Zurich’s SST and Solvency II capital models
What you bring
Master degree with a strong quantitative foundation, e.g. in Mathematics, Statistics, Actuarial Science, Data Science, Quantitative Finance
More than 5 years of relevant experience in the area of economic solvency, capital models and risk modelling, or similar, with a strong quantitative focus
Actuarial qualification, a PhD or CFA / FRM qualifications would be an advantage
Good knowledge of regulatory (SST/Solvency II) requirements
Experience in applying machine learning and artificial intelligence is desirable
Self-reliant, committed and structured personality with the ability to manage multiple tasks, coupled with strong interpersonal, communication and networking skills
Strong IT and data literacy required including programming skills
Fluent written and spoken English is a must
Additional Information
We look forward to receiving your online application.
Zurich wants to attract the best talent and we acknowledge that talents might not always be available full-time. At Zurich we will consider requests for flexible working. Many of our employees work flexibly in a variety of ways. Please talk to us during the interview about the flexibility you may need.
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Information for recruitment agencies
Zurich does not accept any applications from recruitment agencies for this position. We refuse any responsibility for unsolicited applications as well as any associated fees.
Why Zurich
At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?
We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great!
Join us as we constantly explore new ways to protect our customers and the planet.
- Location(s): CH - Zürich
- Remote working: Hybrid
- Schedule: Full Time
- Recruiter name: Grace Cunningham
