Job Title: Pricing Analyst (Fraud)
Target Start Date: ASAP
Contract Type: Permanent, Part Time, Full Time, Job Share option available
Salary Range: £29,600 - £35,000
Location: Eastleigh - hybrid, once a month
Closing Date for applications: Sunday 11th January
Pricing Analyst (Fraud): We are looking for a commercially minded and analytically and numerically strong Pricing Analyst to support the development and implementation of pricing strategies with a particular focus on fraud mitigation. This role will sit at the intersection of Pricing and Fraud, helping to ensure our pricing models and decisions reflect emerging fraud risks and opportunities.
The analyst will be the key pricing contact for the Fraud team, helping to assess, price, and implement fraud-related models and interventions across all lines of business.
Please note we cannot offer sponsorship for this role.
Main Responsibilities as Pricing Analyst (Fraud):
1. Contribute to pricing strategies that balance fraud risk with commercial and customer outcomes, and support pricing changes through analysis and stakeholder engagement.
2. Analyse fraud-related data across products and channels to identify trends, quantify impact, and integrate fraud variables into pricing models, while monitoring strategy performance.
3. Collaborate with the Fraud team to assess new fraud data, support pricing of fraud models (, ID theft, fronting), and act as the key pricing contact for fraud initiatives.
4. Build strong relationships with Fraud, Underwriting, Product, and Data teams, and communicate insights effectively to both technical and non-technical audiences.
5. Ensure all pricing and fraud-related decisions meet governance and regulatory standards, with thorough documentation of methodologies and assumptions.
Skills and experience you need as Pricing Analyst (Fraud):
6. Holds a strong quantitative degree in Statistics, Mathematics, Actuarial Science and has experience in a data-driven role.
7. An understanding of fraud within insurance.
8. Understands insurance products and distribution channels (direct, intermediary, aggregators), and considers broader business and strategic implications in pricing and fraud initiatives.
9. Skilled in statistical analysis, data validation, and handling large datasets using SAS, SQL, or Python.
10. Familiarity with predictive modelling techniques such as Logistic Regression, GLMs, GBMs, Decision Trees, and Neural Nets.
At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK.
Here are some of the benefits you can enjoy at Ageas:
Flexible Working- Smart Working @ Ageas gives employees flexibility around location (as long as it’s within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days.
Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities – Mindfulness.
Supporting your Wealth- Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more.
Supporting you and your Family-Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks’ full pay.
Benefits for Them- Partner Life Assurance and Critical Illness cover.
Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops.
Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover.
Supporting you back to work- Return to work programme after maternity leave.