GI Actuarial Analyst

Gravitas Group; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid working model

Study support for actuarial exams

Job summary

Gravitas Group in Manchester is seeking a graduate actuary analytics role to build and maintain actuarial models in Python and SQL, directly supporting underwriting and pricing teams.

You will gain hands-on underwriting experience in the first six months, focusing on data quality improvements and collaboration with international colleagues, before transitioning to a more actuarially focused role and pursuing professional qualifications.

Qualifications

• Graduate in Actuarial Science, Mathematics, Statistics, Physics, Engineering or related discipline with at least a B in degree and B in A-Level Mathematics.
• Experience using Python and SQL for end-to-end project delivery.
• Open to recent graduates or candidates with prior non-life actuarial experience across any line of business.
• Strong interest in pursuing actuarial qualifications while developing data and analytics skills.

Responsibilities

• Develop models supporting pricing, premium adequacy, and profitability analysis.
• Convert ad-hoc analyses into sustainable, automated tools for team use.
• Work closely with underwriters to understand decision processes and optimise data-driven insights.
• Improve data quality at source and enhance dataset usability for competitive advantage.

Skills

Data analysis

Team collaboration

Problem solving

Communication

Education

Actuarial Science / Mathematics / Statistics / Physics / Engineering

Tools

Python

SQL

Job description

Role Overview

You will be part of a team responsible for building and maintaining actuarial models in Python and SQL, directly supporting underwriting and pricing teams.

Reporting to the senior actuary, success will be measured by the accuracy, usability, and impact of the models and tools developed.

The role offers the opportunity to take early ownership of analysis, with clear pathways for professional development and comprehensive study support for actuarial exams for those wishing to pursue qualification.

During the first six months, the role will focus on gaining hands-on underwriting experience, driving data quality improvements, and collaborating with international colleagues across multiple markets. Following this initial period, the position will transition into a more actuarially focused role, providing the opportunity to further develop your technical expertise and broaden your actuarial skillset.

Key Skills & Experience

• Build automated models, pipelines, and dashboards in Python and SQL.
• Analyse data to inform underwriting decisions across property, casualty, and fleet motor.
• Collaborate with underwriting, actuarial, and data teams within an international context.
• Develop maintainable and reusable analytical tools aligned with business needs.

Key Responsibilities

• Develop and implement models supporting pricing, premium adequacy, and profitability analysis.
• Convert ad-hoc analyses into sustainable, automated tools for team use.
• Work closely with underwriters to understand decision processes and optimise data-driven insights.
• Improve data quality at source and enhance dataset usability for competitive advantage.

Requirements

• The client offers a hybrid working model, typically requiring employees to be in the central Manchester office three days per week.
• You’ll be a graduate in Actuarial Science, Mathematics, Statistics, Physics, Engineering, or a related discipline, with a minimum grade of B in your degree and a B in A-Level Mathematics.
• Demonstrable experience using Python and SQL, with the ability to showcase end-to-end project delivery.
• The client is open to considering both recent graduates and candidates with prior non-life actuarial experience across any line of business.
• A strong interest in pursuing actuarial qualifications while continuing to develop data and analytics skills.
• The client does not offer any visa sponsorship, so you must have the full RTW in the UK.