Fraud Pricing Analyst

Ageas Insurance Limited; Eastleigh; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading insurance company is seeking a Pricing Analyst to support pricing strategies focusing on fraud mitigation. The role involves analyzing fraud data, collaborating with the Fraud team, and ensuring compliance with governance standards. Candidates should possess a strong quantitative degree and experience in data-driven roles, with skills in statistical analysis and tools like SAS, SQL, and Python. Flexibility in working arrangements and a comprehensive benefits package are offered.

Benefits

Flexible Working

Health Insurance Benefits

Annual Bonus Schemes

Pension Contributions

Well-being Activities

Qualifications

• Experience in a data-driven role is required.
• An understanding of fraud within insurance is essential.
• Knowledge of insurance products and distribution channels is needed.
• Ability to handle large datasets effectively.

Responsibilities

• Contribute to pricing strategies and engage stakeholders.
• Analyse fraud-related data to identify trends and quantify impacts.
• Collaborate with the Fraud team to assess new fraud data.
• Maintain governance and regulatory compliance in pricing decisions.

Skills

Statistical analysis

Data validation

SAS

SQL

Python

Predictive modelling techniques

Education

Strong quantitative degree in Statistics, Mathematics, Actuarial Science

Job description

Pricing Analyst (Fraud) – Overview

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.

Responsibilities

• Contribute to pricing strategies that balance fraud risk with commercial and customer outcomes, and support pricing changes through analysis and stakeholder engagement.
• Analyse fraud-related data across products and channels to identify trends, quantify impact, and integrate fraud variables into pricing models, while monitoring strategy performance.
• Collaborate with the Fraud team to assess new fraud data, support pricing of fraud models (e.g., ID theft, fronting), and act as the key pricing contact for fraud initiatives.
• Build strong relationships with Fraud, Underwriting, Product, and Data teams, and communicate insights effectively to both technical and non‑technical audiences.
• Ensure all pricing and fraud‑related decisions meet governance and regulatory standards, with thorough documentation of methodologies and assumptions.

Benefits

• Flexible Working – Smart Working @ Ageas gives employees flexibility around location (within the UK) and flexibility within the working day to manage other commitments. All vacancies are part‑time/full‑time share options and you can buy and sell days. Minimum of 35 days holiday (incl. bank holidays).
• Health – Dental Insurance, Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well‑Being Activities – Mindfulness.
• Wealth – Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans.
• Work – Well‑being activities, mindfulness sessions, Sports and Social Club events and more.
• 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.

Qualifications

• Holds a strong quantitative degree in Statistics, Mathematics, Actuarial Science and has experience in a data‑driven role.
• An understanding of fraud within insurance.
• Understands insurance products and distribution channels (direct, intermediary, aggregators) and considers broader business and strategic implications in pricing and fraud initiatives.
• Skilled in statistical analysis, data validation, and handling large datasets using SAS, SQL, or Python.
• Familiarity with predictive modelling techniques such as Logistic Regression, GLMs, GBMs, Decision Trees, and Neural Nets.

About Ageas

We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.

Equal Opportunities & Anti‑Harassment

As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter, member of iCAN and GAIN. As a Disability Confident Leader, we guarantee an interview for applicants with a disability who meet the minimum criteria for the role. We have a zero‑tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.