Fraud Pricing Analyst

Ageas; Greater London; Hybrid; GBP 29,000 - 35,000; Full time

Job summary

A leading insurance company seeks a Fraud Pricing Analyst to assist in developing pricing strategies focused on fraud mitigation. The position requires a strong quantitative background and a data-driven role experience. Responsibilities include collaborating with various teams to assess fraud models and analyzing data trends to optimize pricing initiatives. This hybrid role is based in Eastleigh with flexible working arrangements. Proficiency in statistical analysis and experience with tools like SAS, SQL, or Python are essential.

Qualifications

• Experience in a data-driven role with a focus on pricing and fraud.
• Knowledge of insurance products and distribution channels.
• Proactive in exploring data and challenging assumptions.

Responsibilities

• Collaborate with Fraud team to assess and price fraud models.
• Analyze fraud data to identify trends and impacts.
• Contribute to pricing strategies balancing risk and outcomes.
• Build relationships with various teams and communicate insights.
• Ensure compliance with governance and regulatory standards.

Skills

Statistical analysis

Data validation

Handling large datasets

SAS

SQL

Python

Logistic Regression

GLMs

GBMs

Decision Trees

Neural Nets

Education

Strong quantitative degree in Statistics, Mathematics, Actuarial Science

Job description

Fraud Pricing Analyst

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

Work Level: 3

Closing Date for applications: Friday 7th November

Hiring Manager: Hetal Sumaria

We are looking for a commercially minded and analytically 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.

Main Responsibilities

• Fraud‑Focused Pricing Support: 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.
• Data Analysis & Insight Generation: Analyse fraud‑related data across products and channels to identify trends, quantify impact, and integrate fraud variables into pricing models, while monitoring strategy performance.
• Pricing Strategy & Execution: Contribute to pricing strategies that balance fraud risk with commercial and customer outcomes, and support pricing changes through analysis and stakeholder engagement.
• Stakeholder Collaboration: Build strong relationships with Fraud, Underwriting, Product, and Data teams, and communicate insights effectively to both technical and non‑technical audiences.
• Governance & Compliance: Ensure all pricing and fraud‑related decisions meet governance and regulatory standards, with thorough documentation of methodologies and assumptions.

Skills and experience

• Holds a strong quantitative degree in Statistics, Mathematics, Actuarial Science and has experience in a data‑driven role.
• 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.
• Demonstrates a proactive approach to exploring data, challenging assumptions, and engaging with emerging fraud typologies and pricing techniques.

To find out more about this role and for information please contact Zoe Powell OR Hetal Sumaria.

Alternatively, click on the “Apply Button” to be considered.