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Hastings Direct

Underwrites car, home, and vehicle insurance

Fraud Performance Analyst

Claims AdjudicationPosted on Nov 12
Full-time

About the Job

Requirements

  • Strong analytical capability and experience working with large, complex datasets to generate insight, identify trends, and support data-driven decision-making.
  • Technical experience with SQL, Snowflake, Power BI, and equivalent programming, data interrogation, and visualization tools.
  • Experience within insurance fraud, financial services, financial crime, or another regulated environment.
  • Experience analyzing fraud performance, including referral quality, conversion rates, detection outcomes, and identifying and quantifying opportunities to improve referral performance and prioritization.
  • Knowledge or experience of fraud detection technologies, data providers, and supplier solutions such as SIRA, Shift, and iovation, including evaluating performance, data quality, and commercial or business outcomes.
  • Experience monitoring and analyzing fraud referral performance across internal channels, suppliers, and technology partners, including referral quality, conversion, detection effectiveness, and overall performance.
  • Experience evaluating and optimizing fraud detection rules, referral strategies, and thresholds to improve fraud detection, referral effectiveness, and operational efficiency.
  • Experience leading analytical reviews and supporting the design, testing, implementation, and post-implementation measurement of fraud detection rules, supplier enhancements, and optimization initiatives.
  • Experience quantifying, tracking, and reporting business benefits, including fraud savings, operational improvements, commercial outcomes, and return on investment.
  • Ability to provide data-driven insight supporting referral prioritization and decision-making, and to work with Claims Analytics and operational stakeholders to maintain consistent and accurate reporting.
  • Ability to produce accurate, robust, and appropriately documented analysis that supports fair customer outcomes, meets regulatory requirements, and provides reliable insight for operational and commercial decision-making.

Responsibilities

  • Support optimization of fraud identification and operational performance through data, analytics, insight generation, and performance reporting, with a specialism in fraud referral performance, supplier rule set optimization, and referral prioritization across Policy and Claims Fraud.
  • Produce actionable insights to maximize fraud detection outcomes, improve referral quality, and focus fraud efforts on the highest-value opportunities.
  • Work alongside Fraud Operations, Claims Analytics, Data Science, and external suppliers to evaluate fraud referral strategies, supplier rule sets, and referral prioritization frameworks.
  • Identify opportunities to enhance detection effectiveness, operational efficiency, and commercial outcomes.
  • Help ensure operational resources are focused on the highest-risk and highest-value opportunities.

Desired Qualifications

  • Knowledge of Policy Fraud and Claims Fraud processes, controls, and detection approaches is highly beneficial.

About the Company

Hastings Direct

Underwrites car, home, and vehicle insurance

Hastings Direct provides general insurance in the UK, mainly car insurance, and also offers policies for vans, bikes, and homes. It sells directly to customers and through multiple channels, including price comparison websites and its own site (hastingsdirect.com) as well as a contact centre, to reach a wide audience. The productworks by underwriting policies and pricing risk using data analytics, while handling claims and offering ancillary products to generate revenue. The company differentiates itself with a direct-to-consumer, multi-channel distribution approach that blends online, comparison sites, and support channels, alongside data-driven pricing and underwriting. Its goal is to grow its share of the UK general insurance market by efficiently pricing risk, effectively managing claims, and maintaining a competitive expense ratio.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Bexhill-on-Sea, United Kingdom
Founded
1997

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