Senior Quantitative Analyst in the Market Risk team at Central 1, maintaining market data integrity and leading risk analysis. Collaborating with teams to ensure compliance and informed decision - making.
About the role
- Data Engineer transforming complex datasets into actionable insights for Swiss Re's P&C Finance team. Building data pipelines and reporting tools in a hybrid work environment.
Responsibilities
- Design and build robust data pipelines in Palantir Foundry
- Develop transformation logic using PySpark and Apache-based technologies
- Lead end-to-end data initiatives including ingestion, transformation, solution development, and AI/ML model deployment
- Drive industrialization by building robust, enterprise-grade data pipelines and AI applications
- Support and enhance existing reporting platforms, particularly in Power BI
- Create new reporting tools or dashboards that visualize financial and operational data
- Automate manual processes through innovative data flows
- Take ownership of reporting problems with a solution-first mindset
Requirements
- Comfortable with SQL and Python
- Built things using Advanced Excel, Power Query, or Power BI
- Written some DAX logic, or excited to learn more
- Like working with big messy datasets and finding ways to clean and align them
- Comfortable talking to business users and explaining logic
- Nice to haves: user-defined functions (UDFs) in PySpark
- Follow systematic coding practices
- Worked with version control (Git or similar)
- Care about performance optimization
- Prior experience with Palantir Foundry, or working with finance data is a big plus
- Worked on projects where you pulled together data from different places and made something useful
Benefits
- hybrid work model where the expectation is that you will be in the office at least three days per week
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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