Actuarial Analyst (Pricing Developer)

Arthur Financial; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A global financial services firm in Greater London is seeking candidates for an Actuarial Pricing & Analytics role. The role emphasizes pricing sophistication, model digitization, and delivering insights. Ideal candidates will possess a numerate background and show interest in pricing or analytics with exposure to tools like Excel and SQL. Flexible working arrangements are supported, making this position suitable for those with 1-2 years of related experience.

Qualifications

• Candidates should have 1-2 years’ experience in pricing or data science.
• Previous (re)insurance pricing experience is beneficial but not a prerequisite.
• Candidates should demonstrate a strong ownership and delivery mindset.

Responsibilities

• Improve pricing and risk selection sophistication.
• Digitize pricing models and analytics.
• Deliver scalable, self-service MI and portfolio insights.

Skills

Strong numerate background

Interest or experience in pricing

Exposure to Excel

Exposure to SQL

Familiarity with Python

Familiarity with R

Familiarity with Power BI

Job description

Overview

This role sits within a global Actuarial Pricing & Analytics team that works on strategic, project-based initiatives rather than heavy BAU.

The focus is on:

• Improving pricing and risk selection sophistication
• Digitising pricing models and analytics
• Delivering scalable, self-service MI and portfolio insights
• It’s a central team working across lines, regions and stakeholders, rather than being embedded in a single product.

Key Points Worth Highlighting

• Actuarial exams are not required (nor mandatory to study)
• Open to candidates from pricing, analytics, data science, consulting, commercial or personal lines backgrounds
• Typically suited to 1–2 years’ experience (pricing or data science background both considered)
• Strong emphasis on learning ability, ownership, and delivery mindset
• No line management responsibility
• Flexible working arrangements supported

What They’re Looking For

At a minimum:

• Strong numerate background
• Interest or experience in pricing, analytics or modelling
• Exposure (or strong desire to develop) in tools such as:
• Excel, SQL
• Python / R
• Power BI / DAX (nice to have, not essential)
• Someone comfortable owning analytical work and collaborating across stakeholders
• Previous (re)insurance pricing experience is beneficial but not a prerequisite.