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Counter Fraud Data Analyst

2 months ago

Leeds, Leeds, United Kingdom Direct Line Group Full time

About Direct Line Group

At Direct Line Group, we're a customer-obsessed market powerhouse combining decades of industry experience with talented people in every field. We're looking for a Counter Fraud Data Scientist to join our Counter Fraud Department.

The Role

In this role, you'll be driving the identification and delivery of fraud reduction opportunities and developing strategies through robust analytics. You'll bring statistical depth to identify fraudulent claims through the optimisation of existing fraud defence tools and development of ad hoc and strategic defence capabilities to improve our performance.

Key Responsibilities

  • Drive development of fraud referral strategies in addition to identifying new sources of fraud referrals by sourcing, analysing, and drawing conclusions from disparate data sources.
  • Utilise advanced statistical techniques to optimise strategies through SAS and open-source software to reduce fraud loss.
  • Have an understanding and/or practical application of Machine Learning and AI to feed into current strategic development.
  • Responsible for supporting the design and implementation of reporting and analysis to ensure that fraud claims benefit initiatives are accurately and effectively tracked, challenged, and reviewed.
  • Support strategic & operational change activity through the clear articulation of business risk and current performance.
  • Drive advancements in operations and contribute to increased Counter Fraud savings by supporting and developing claim cluster reporting.
  • Create ad hoc reports for members of other teams within Counter Fraud to help increase benefits and reduce fraud.
  • Keep strong relations with not only members of the Counter Fraud team but also other areas of the business that are connected.

Requirements

  • Experienced in Data Analytics, Statistics, Mathematics, or a related field.
  • Previous experience of Insurance or Fraud strategy development is preferred.
  • Solid understanding of data manipulation techniques and data modelling concepts.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Eagerness to learn and adapt to new technologies and methodologies in data analysis and programming.

What We Offer

We offer excellent benefits, flexible working options, and a supportive environment that allows you to thrive in your role. Our hybrid model way of working offers a 'best of both worlds' approach combining the best parts of home and office-working, offering flexibility for everyone.

Being Yourself

We believe everyone should feel comfortable to bring their whole selves to work. We champion diverse voices, build workplaces that work for people, and invest in the things that matter.