Are you great with data and analysis, but want the opportunity to move into more advanced analytics? Do you have advanced SQL and/or R skills, with a strong background in statistics? Do you want a role where you can really make a difference? Then this role could be perfect for you!
This newly created Senior Analyst role will have you joining an established and highly collaborative Analytics team to work on our fraud detection program of work. You will get familiar with a broad range of business data sets, including policy, claims and previous fraudulent claims, and work to develop a number of statistically valid rules that identify claims that could be fraudulent. You will then ensure these are ethical (that they don’t unfairly bias any particular group), and that they make an impact in reducing fraudulent claims by flagging suspicious claims to our Fraud & Investigations Team.
As our portfolio of analytical fraud detection products grows, and your knowledge and technical abilities develop, you will help build more and more sophisticated approaches to further enhance our fraud detection and intelligence capabilities – thus protecting those we hold dearest, our customers!
Build fraud detection products embedded in production applications.
You will expand the scope of IAG’s fraud detection capability to additional portfolios by building fraud rules for these portfolios that generate alerts for the fraud triage team.
You will build dashboards to monitor the performance of the fraud detection rules.
You will build, optimise and improve fraud detection products under the direction of the data scientist and lead in your team.
You will utilize continuously deliver valuable improvements to our fraud products to meet stakeholder needs.
Activate fraud analytics within IAG
You will conduct analysis to understand business processes and the impact of changes to the Fraud triage team, with a view to increasing fraud detection at IAG.
You will build tools and processes supporting the activation of fraud detection analytics within IAG.
Data analysis and support
You will work with the Senior Fraud Analyst to produce datasets, analyses, insights and test hypotheses to aid in fraud detection activity and modelling at IAG.
Stakeholder engagement & management
You will seek input from the Fraud Intelligence Manager & Lead on rule design and improvements and provide regular updates to them on rule performance.
Degree qualification in a related field; e.g. Statistics, Data Science, Mathematics, Computer Science, Engineering, Physics or other relevant technical field.
Intermediate programming skills in SQL and/or R (other modelling software such as SAS and Python is beneficial but not essential).
Demonstrated ability to select appropriate analytical techniques to solve business problems.
Ability to communicate complex concepts with technical and non-technical audiences.
Attention to detail, creative problem solving skills combined with a curious mindset are highly valued.
Previous experience in deploying fraud analytics methodologies and knowledge of the SAS SFFI application advantageous, but not essential.
Skills & Experience