Underwriting Operations Analyst: Process & Data Excellence

Convex; City Of London; On-site; GBP 35,000; Full time

Job summary

A leading insurance company is seeking an Operations Analyst to join their Underwriting Operations team in London. This role focuses on process improvement, data analysis, and stakeholder engagement to enhance operational efficiency. Candidates should possess strong problem-solving, communication, and teamwork skills. Competitive benefits include annual performance bonuses, generous leave policies, and support for professional qualifications.

Benefits

Annual Performance Bonus

30 days Annual Leave

3 days of Volunteer Leave each year

Birthday Leave

£1,300 for learning & wellbeing

10% Employer Pension Contribution

Private Health Insurance

Support for Professional Qualifications

Qualifications

• Ability to evaluate evidence and make sound judgments.
• Clear and professional communication in writing and presentations.
• Effectively contributing to team goals.
• Taking responsibility and motivating others.
• Thriving in dynamic environments.

Responsibilities

• Review existing processes and identify opportunities for improvement.
• Establish new processes due to changes or new technologies.
• Draft procedural and process documentation.
• Support on various projects within the team.
• Analyze data and develop productivity reports.

Skills

Critical thinking and problem-solving

Communication skills

Collaboration and teamwork

Leadership and initiative

Adaptability and resilience

Digital literacy

Time management and organisation

Job description

A leading insurance company is seeking an Operations Analyst to join their Underwriting Operations team in London. This role focuses on process improvement, data analysis, and stakeholder engagement to enhance operational efficiency. Candidates should possess strong problem-solving, communication, and teamwork skills. Competitive benefits include annual performance bonuses, generous leave policies, and support for professional qualifications.