Financial Data Analyst

Overview

We are looking for an experienced Financial Data Analyst to join our Non – Life team. The role will be responsible for advising business on the potential of data, provide new insights into the business’ mission, and using advanced analytics, consolidating work-flows, automating processes and creating data visualization techniques to create solutions that enhance business performance.

Your Role:

• Work closely with internal and external stakeholders to build, test and deploy solutions that facilitate data driven decision making
• Steer the development of state-of-the-art analysis and dashboards for risk management and monitoring
• Deliver complex projects and drive actionable insights for the business
• Collaborate with stakeholders to understand business challenges and deliver optimal solutions
• Inform management or internal client of results and make recommendations as appropriate
• Consolidating internal and external data, analysing data and providing business performance insights to management
• Improvising process work-flows through automation
  
  
  

Your Profile:

• Bachelor’s / Master’s degree in Operational Research, Statistics, Computer science or engineering background with around 1 year of experience in advanced data analytics and machine learning projects.
• Exceptional skills in coding with R and Python.
• Sound knowledge of Big Data platforms (e.g., Hadoop) and cloud and streaming technology (AWS, Kafka, Microsoft Azure).
• Strong knowledge of machine learning algorithms (e.g., GLM, GBM, Random Forest).
• Proven experience in data visualization tools (e.g., RShiny, Tableau, SAS VA, Power BI).
• Outstanding skills in presenting results to internal and external clients
• Experience in managing complex projects
• Self-motivating, preparedness to take ownership
• Actuarial / insurance domain knowledge (preferred)