Risk Analytics Manager

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

Job summary

A leading insurance institution in London seeks a Risk Analytics Manager for a high-impact contract role. This position involves leading stress testing frameworks, developing quantitative models, and collaborating with various teams. The ideal candidate possesses strong quantitative risk analysis skills and is proficient in tools like Python and R. This opportunity offers a day rate of up to £900 and hybrid working arrangements.

Benefits

Day rate of £900

Opportunity to shape risk analytics capabilities

Collaborative team environment

Qualifications

• Strong background in quantitative risk analysis, ideally within financial services.
• Experience with stress testing, scenario analysis, or related modelling techniques.
• Excellent analytical and communication skills.

Responsibilities

• Lead and enhance the firm’s stress testing and scenario analysis frameworks.
• Develop, implement, and validate quantitative models.
• Collaborate with internal stakeholders across risk, finance, and analytics.

Skills

Quantitative risk analysis

Stress testing

Scenario analysis

Python

R

SAS

Education

MSc/PhD in a numerical discipline

Job description

Risk Analytics Manager (Contract)

Day Rate: Up to £900 per day
Contract Type: Inside IR35
Location: London (Hybrid working)
Duration: 4-6 months

We’re looking for a Risk Analytics Manager to join a leading insurance institution on a high-impact contract assignment. This role will sit within the firm’s risk analytics function, focusing on stress testing, scenario analysis, and quantitative risk methodologies.

Key Responsibilities

• Lead and enhance the firm’s stress testing and scenario analysis frameworks.
• Develop, implement, and validate quantitative models to support risk management and capital planning.
• Collaborate with internal stakeholders across risk, finance, and analytics teams to deliver robust insights.
• Support regulatory submissions and ensure compliance with internal model governance standards.

Skills & Experience

• Strong background in quantitative risk analysis, ideally within financial services.
• Experience with stress testing, scenario analysis, or related modelling techniques.
• Proficiency in Python, R, SAS, or similar quantitative tools.
• Excellent analytical and communication skills, with the ability to convey technical insights to non-technical stakeholders.
• A quantitative qualification (e.g., MSc/PhD in a numerical discipline) is desirable but not essential.

What’s on Offer

• £900 per day (Inside IR35).
• Opportunity to shape and strengthen risk analytics capabilities within a major financial organisation.
• Collaborative team environment with a strong focus on innovation and analytical excellence.