Senior Portfolio Analytics Lead - Hybrid InsurTech Impact

Tempcover; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

10% discretionary yearly bonus

Employer matching pension contributions up to 7.5%

Private medical cover

25 days holiday

Work from home budget

Electric vehicle scheme

Job summary

Tempcover is seeking a Lead Portfolio Analyst based in Greater London. This individual will be responsible for designing and deploying pricing strategies and fraud detection models in a fast-paced insurance environment. The role offers the autonomy to drive analytics while collaborating with an underwriting team. The ideal candidate will have substantial experience in the UK motor insurance market, proficiency in analytical tools like Python and SQL, and exceptional communication skills. A hybrid working model is available, with two in-office days per week.

Qualifications

• Experience in the UK general insurance market, especially motor insurance.
• Proven track record of building and optimizing underwriting strategies.
• Advanced proficiency in Python or R for data modeling.

Responsibilities

• Monitor portfolio performance and recommend actions based on KPIs.
• Build predictive fraud models using external data.
• Design and optimize automated underwriting rules.

Skills

Analytical skills

Communication skills

Commercial acumen

Experience in UK general insurance

Proficiency in Python or R

Expert SQL skills

Experience with PowerBI or Tableau

Familiarity with machine-learning concepts

Tools

Python

R

SQL

PowerBI

Tableau

BigQuery

Azure

Job description

Tempcover is seeking a Lead Portfolio Analyst based in Greater London. This individual will be responsible for designing and deploying pricing strategies and fraud detection models in a fast-paced insurance environment. The role offers the autonomy to drive analytics while collaborating with an underwriting team. The ideal candidate will have substantial experience in the UK motor insurance market, proficiency in analytical tools like Python and SQL, and exceptional communication skills. A hybrid working model is available, with two in-office days per week.