Fraud Performance Analyst
Hastings Direct is hiring a Fraud Performance Analyst. Level rates it ; you can apply on Hastings Direct.
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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 including referral quality, conversion rates, detection outcomes and the identification and quantification of opportunities to improve referral performance and prioritisation
- Knowledge or experience of fraud detection technologies, data providers and supplier solutions such as SIRA, Shift and iovation, with the ability to evaluate performance, data quality and commercial/business outcomes
The Interview Process
Our interview process involves the below:
- Recruiter intro/screening call
- 1st stage interview with hiring leader
As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is if you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our careers website.
Regrettably, we are unable to offer sponsorship for this role.
Benefits: In addition to a competitive salary, you will also receive…
Flexible working – we champion a flexible hybrid working approach – please speak to your recruiter to discuss in more detail
Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
There's more! – 25 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….
Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
At Hastings Direct, we’re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date:
How we rate this
Fraud Performance Analyst at Hastings Direct rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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