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MI & Performance Analyst - Fraud Prevention

eFinancialCareers
Job LocationEdinburgh
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Join us as an MI & Performance Analyst

  • Become one of the banks fraud prevention specialists using your experience as a data analyst
  • Youll support the effective management of service performance and fraud loss prevention to identify, mitigate, and report on fraud risk and operational services
  • This is a great opportunity to develop your career, as youll be working closely with, and learning from, experienced professionals and banking specialists
What youll doWere using data to become more customer centric and make smarter decisions. Because we have access to the right data, at the right quality, in the right place, were able to work faster and smarter to become a relationship bank for a digital world. In your new role, youll develop and deliver accurate, timely, and meaningful performance analysis and MI to support business decision making. From that data, youll help us identify existing and emerging fraud trends, and work with our stakeholders to enhancethe banks fraud prevention capabilities. Youll also:
  • Evaluate new data sources and integrate these into our performance monitoring to optimise the banks fraud prevention capability
  • Conduct appropriate monitoring and performance analysis of fraud prevention processes and strategies
  • Lead on the design, development and deployment of data tools and dashboard visualisations, including Tableau, PowerBI and Excel
  • Create and work with large, complex data sets that can be used to drive continuous improvement activity
  • Collaborate with team members and actively grow your analytical and data handling knowledge
The skills youll needTo excel in your new role, youll need experience in advanced data mining techniques, including expertise in extraction, transformation, and data visualisation. Youll also be highly analytical and collaborative, with the ability to work with various stakeholders at all levels. Youll also need:
  • Working knowledge of coding environments
  • An understanding of data visualisation tools
  • Effective experience of using and interpreting MI
  • The ability to synthesize large amounts of information from various sources to draw meaningful conclusions

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