Job Title: Fraud Performance Analyst
Location: Leicester or Bexhill (Hybrid)
Welcome to Hastings Direct
We’re a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We’ve made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We’re proud of the journey we’re on as a company and know that our continued success will rely on the contribution of our talented colleagues.
We provide insurance for over four million customers, but we know there’s even bigger opportunity out there. The fact you’re now reading this job advert means we’ve tempted you to find out more about #lifeatHD – we really hope you like what you see, and you’ll join us to share in the success of the exciting chapter that lies ahead.
We understand some people may not apply for jobs unless they feel they tick every box. If you’re excited about joining us and think you have some of what we’re looking for, even if you’re not 100% sure we would love to hear from you.
Role Overview
As our Fraud Performance Analyst, you’ll support the optimisation of fraud identification and operational performance through data, analytics, insight generation and performance reporting. This role will have a specialism is fraud referral performance, supplier rule set optimisation and referral prioritisation across both Policy and Claims Fraud.
You’ll be responsible for producing actionable insights that help maximise fraud detection outcomes, improve referral quality and ensure our fraud focus is on the highest value opportunities. Working alongside Fraud Operations, Claims Analytics, Data Science and external suppliers, you’ll evaluate fraud referral strategies, supplier rule sets and referral prioritisation frameworks, identifying opportunities to enhance detection effectiveness, operational efficiency and commercial outcomes.
Job Details – you’ll need to have demonstrable experience in:
Monitoring and analysing fraud referral performance across internal channels, suppliers and technology partners, assessing referral quality, conversion, detection effectiveness and overall performance
Evaluating and optimising fraud detection rules, referral strategies and thresholds, using analytical insight to identify opportunities to improve fraud detection, referral effectiveness and operational efficiency
Leading analytical reviews and supporting the design, testing, implementation and post-implementation measurement of fraud detection rules, supplier enhancements and optimisation initiatives, ensuring changes deliver measurable improvements
Quantifying, tracking and reporting business benefits, including fraud savings, operational improvements, commercial outcomes and return on investment from supplier changes, referral optimisation and detection enhancements
Providing data-driven insight to support referral prioritisation and decision-making, helping ensure operational resource is focused on the highest risk and highest value opportunities, while working with Claims Analytics and operational stakeholders to maintain consistent and accurate reporting
Delivering accurate, robust and appropriately documented analysis, ensuring analytical activity supports fair customer outcomes, meets regulatory requirements and provides reliable insight for operational and commercial decision making
Essential Skills/Experience:
Strong analytical capability, with experience working with large and complex datasets to generate insight, identify trends and support data-driven decision making
Technical experience using analytical and reporting tools including SQL, Snowflake and Power BI, and equivalent programming, data interrogation and visualisation tools
Experience within insurance fraud, financial services, financial crime or other regulated environment, with knowledge of Policy Fraud and Claims Fraud processes, controls and detection approaches being highly beneficial
Experience in analysing fraud performance…