About the Client
About the Client
We are 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. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
This is an exciting opportunity to join our global Compliance Digital & Analytics team, based in Zürich, and Bratislava! The team is responsible for improving the usage of technology and data for the benefit of Compliance, and drive Compliance insights for management and key Compliance stakeholders. Our services include business analysis, development and management of Compliance specific tools and data analytical solutions, including assurance solutions. The development of digital & analytics capabilities is a key strategic direction for Compliance.
Responsibilities
As a Data Analyst, you will develop, deliver and support sophisticated data analytics solutions for Compliance. The role provides an opportunity to use your analytics expertise to provide business insights and develop assurance solutions that support Compliance strategy. You will support the execution of our tech strategy by developing, maintaining and coordinating Compliance Analytics solutions for use within the division.
Your key tasks involve understanding the problem, identifying a solution with the available data, through discussions with Compliance's domain specialists. You will assess the feasibility of a positive outcome before recommending an analytics approach. Afterwards you will collect and prepare the data before doing the modelling, evaluation and presentation of results. The sophisticated analytics use cases will be related to the control environment and help assess if a risk is being effectively managed and related controls are operating effectively.
Main tasks/activities/responsibilties
• Develop and maintain sophisticated data analytics solutions by using our advanced data analytics platforms & framework
• Work with Compliance Assurance team to define Continuous Monitoring for specific Compliance risks and help formulate a data-driven approach including data analysis or advanced visualisations that help meet the monitoring objective
• Work with Compliance Stakeholders to generate insights for specific Compliance Risks, such as Money Laundering and Bribery and Corruption, and facilitate informed decision taking.
• Support the development and maintenance of reports and dashboards using Microsoft Power Bi services, in order to provide an interactive and visual way for Compliance staff to understand key topics and assess risk during risk assessment activities
• Support the development of Key Risk Indicators reporting for key Compliance Risks
• Work closely with IT and other data analytics teams to ensure alignment and cross-knowledge sharing
Requirements
• Proficiency with programming/scripting languages such as Python (PySpark, Pandas libraries would be an advantage), SQL. Understanding of Apache Spark.
• Proven experience and proficiency in data transformation, preparation, data modelling and visualization practices.
• Work effectively in teams with both technical and non-technical individuals in a constantly evolving environment with dynamic objectives.
• Communicate technical concepts and results in a clear and detailed manner to non-technical audiences.
• Demonstrable ability to work independently and make decisions with minimal supervision
• English proficient is a requirement.
• Curious nature, desire to learn! Appetite to deep dive into complex topics and provide novel solutions
Nice to Have Skills
• Understanding of ML modelling is a plus.
• Experienced with MS Power Bi technology is a plus.
• High-level understanding of Compliance or related fields (risk management, audit) is nice to have.
• University degree preferably in a numerate field (e.g. Computer Science, Engineering, Statistics, Maths) is a nice to have.