Job
Description
This position is part of the APM team in Corporate Solutions. You will play an important role in driving high-quality analytics & insights by combining your technical and analytical skills with the insurance knowledge of the broader organization. As a Portfolio Analyst, you will contribute to and support data management and visualization activities using Palantir technologies. The APM team is comprised of a mix of highly experienced members already entrenched in advanced analytics and highly motivated newer members who thrive in a dynamic and fast learning environment. This team reports into the Chief Underwriting Officer and is part of the Actuarial Portfolio Management Unit. You should possess convincing interpersonal skills and the ability to maintain effective working relations in a multi-disciplinary and multi-cultural environment. Being a self-starter, organized, and able to handle multiple priorities and meet deadlines are essential for this role. Additionally, you should be able to apply quantitative skills, business knowledge, logical thinking, and communicate the key message through visualization & presentation. Roles & Responsibilities: - Design and implement data pipelines to extract, transform, and load data from various sources into datasets. - Build and maintain dashboards that communicate policy, costing, and related insights. - Collaborate with peers and senior team members to optimize data management processes. - Perform data quality checks and troubleshooting. - Maintain comprehensive documentation and data lineage across multiple systems. - Contribute to developing and implementing a data analytics solutions strategy. - Provide support to the end consumers of the data. Professional experience: - Minimum 2-3 years of hands-on work experience in the data field. - Hands-on experience in building ETL data pipelines is required. - Proficiency with Python, PySpark, and SQL, or similar programming and query languages. TypeScript is a plus. - Ability to pick up new technologies quickly. - Experience with Palantir technologies is a plus. - Demonstrated ability to analyze complex data-related challenges and to identify effective solutions. - Experience with Scrum/Agile development methodologies is a plus. - A Bachelor's or Master's degree in computer science, data, or software engineering, or equivalent work experience. Personal Skills: - Motivated to focus on executing and delivering high-quality results on time. - Ability to articulate and communicate work effectively and be comfortable presenting work to senior team members and leaders. - Work for the collective success of the team in close collaboration with senior team members, demonstrating collaboration and intercultural competence. Educational level: - A Bachelor's or Master's degree in computer science, data, or software engineering, or equivalent work experience. About Swiss Re: Swiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. They anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime, covering both Property & Casualty and Life & Health. With the collaboration of more than 14,000 employees across the world, Swiss Re combines experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for clients.,
