Lead Portfolio Analytics Manager

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

Description

Hybrid: in-office 2 days per week in either our London or Fleet office.

Tempcover is at the forefront of the fast-growing, high-volume short-term UK motor insurance market. Our mission is to make car insurance flexible, quick, and easy. We seek an extraordinary analytical leader to join our rapidly growing InsurTech business and drive the next phase of profitable growth.

The opportunity

This is a rare chance to own the analytical engine behind one of the UK's leading InsurTech businesses. As Lead Portfolio Analyst, you’ll design and deploy the models, pricing strategies, and fraud-detection logic that directly determine whether the business grows profitably. You’ll have genuine autonomy to set your own agenda, a sharp underwriting team around you, and real commercial impact from day one.

About The Role

This is a hands-on, senior individual contributor role (70%) with people and project management responsibility (30%). You’ll bridge traditional underwriting principles with data-driven decision-making, building automated underwriting logic and sophisticated algorithms to help our panel of insurers achieve targeted loss ratios across high-volume, short-term motor policies.

What You’ll Work On

• Own portfolio performance monitoring in near real-time — tracking KPIs, identifying emerging risks, and recommending action before problems escalated.
• Build and iterate predictive fraud models, using external data enrichment and non-traditional signals at point of quote.
• Design and optimise automated underwriting rules and pricing strategies, balancing profitability and risk across the portfolio.
• Identify growth opportunities — expanding our footprint and refining rates with a sharp eye on commercial impact.
• Translate complex models into scalable, production-grade decision engines in close collaboration with Engineering and Product.
• Conduct deeper analysis to support product evolution, both for core products and new opportunities.
• Ensure all underwriting strategies remain compliant with FCA guidelines for fairness, transparency, and data usage.
• Line‑manage and formally mentor a Senior Analyst, focusing on their technical development and project allocation.

What We Look For

• Experience in the UK general insurance market, with a strong preference for high-frequency motor insurance products.
• Proven track record of building, implementing, and optimising profitable underwriting or pricing strategies — this is the experience we won’t compromise on.
• Advanced proficiency in Python or R for modelling and data transformation.
• Expert‑level SQL for rapid extraction and manipulation of large datasets.
• Strong communication skills — able to present complex analytical findings clearly to non‑technical stakeholders.
• Commercial acumen and the ability to balance risk control with fast‑paced customer experience in a competitive market.
• Experience with visualisation tools such as PowerBI or Tableau.
• Familiarity with cloud‑based data warehouses such as BigQuery or Azure.
• Knowledge of machine‑learning concepts applied to insurance, particularly real‑time scoring and fraud detection.
• Familiarity with WTW RADAR (not essential).

You don’t need to tick off everything on this list – so don’t let that hold you back from applying. We want to make sure you’re learning plenty during your time with us!

Our commitment to you

We are dedicated to developing valuable, inclusive, and user‑friendly products and services that deliver positive outcomes for all of our customers. To achieve this, it’s essential that our teams reflect the diverse range of people in our community. We believe in being the change we wish to see in the world, by embracing our differences and holding ourselves accountable to being open and inclusive teammates and wider community members.

What We Offer

• 10% discretionary yearly bonus and yearly pay reviews (based on RVU and personal performance).
• A hybrid working approach with 2 in‑office days per week and up to 22 working days per year to "work from anywhere".
• Employer matching pension contributions up to 7.5%.
• A one-off £300 "work from home" budget to help contribute towards a great work environment at home.
• Excellent maternity, paternity, shared parental and adoption leave policy, for those key moments in your life.
• 25 days holiday (increasing with years of employment to 30 days) + 2 days "my time" per year.
• Private medical cover, critical illness cover and employee assistance programme.
• A healthy learning and training budget.
• Electric vehicle and cycle‑to‑work schemes.
• Regular events – from team socials to company‑wide events with insightful external speakers, we want to make sure our colleagues continue to feel connected.