Lead Portfolio Analyst

Tempcover

Fleet

Ibrido

GBP 50.000 - 80.000

Tempo pieno

14 giorni+
Generatore di candidature

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Vantaggi offerti da questo lavoro

10% discretionary yearly bonus
Hybrid working model
25 days holiday

Descrizione del lavoro

Tempcover, located in Fleet, is seeking a Lead Portfolio Analyst for the Underwriting team. This hybrid role requires strong analytical leadership and a proven track record in the UK motor insurance market. You will be critical in designing automated underwriting and managing regulatory compliance.

The ideal candidate has experience with SQL, Python, and analytics tools like PowerBI, striving for profitable growth. Benefits include a discretionary bonus, hybrid working model, generous vacation days, and more.

Competenze

  • Experience in the UK General Insurance market, especially motor insurance.
  • Expert in SQL for data extraction and manipulation.
  • Advanced skills in Python or R for data modelling and visualisation.

Mansioni

  • Design and optimise risk strategies using analytics.
  • Monitor and ensure compliance with regulatory requirements.
  • Manage and mentor junior analysts.

Conoscenze

Analytical leadership
Profitable underwriting strategies
SQL proficiency
Python or R skills
Experience with PowerBI/Tableau
Familiarity with machine learning

Strumenti

PowerBI
Tableau
BigQuery

Descrizione del lavoro

About Tempcover

Tempcover is a high‑volume short‑term UK motor insurance company focused on flexible, quick, and easy car insurance. We seek an analytical leader for our InsurTech business to drive profitable growth.

Location & Hybrid Work

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

About the Role

The Lead Portfolio Analyst in our Underwriting team is a critical hands‑on role (70% individual contributor, 30% project/people management). You will bridge traditional underwriting principles with cutting‑edge data science, designing and deploying automated underwriting logic and sophisticated algorithms to help our underwriters achieve targeted loss ratios on high‑volume, short‑term UK motor policies (one hour to one month).

What You’ll Work On
  • Design and optimise risk strategies for temporary insurance using advanced analytics, experimentation and enriched data to drive profitable growth while managing fraud and adverse selection.
  • Monitor portfolio performance in near real time, identify emerging risks and ensure underwriting decisions remain compliant with UK regulatory requirements.
  • Develop growth through expanding our footprint and optimising rates while monitoring and refining to maximise potential.
  • Use advanced modelling techniques to support fraud prevention and risk identification.
  • Utilise immediate data enrichment and non‑traditional data sources (e.g. external validation services) to identify new signals for risk selection and fraud identification at point of quote.
  • Monitor critical KPIs, highlighting movements and recommending action where necessary.
  • Conduct deeper analysis to support product evolution, both core products and new opportunities.
  • Manage regulatory compliance, ensuring underwriting strategies comply with FCA guidelines for fairness, transparency and data usage.
  • Collaborate with Engineering and Product teams to translate complex models into scalable, production decision engines.
  • Line‑manage and formally mentor junior analysts, focusing on their technical development, project allocation and best practices.
What We Look For
  • Experience in the UK General Insurance market, with strong preference for high‑frequency motor insurance products.
  • Proven track record of building, implementing, and optimising profitable underwriting strategies.
  • Expert‑level proficiency in SQL for rapid data extraction and manipulation from large datasets.
  • Advanced skills in Python or R for modelling, data transformation and visualisation.
  • Strong experience with visualisation and reporting tools such as PowerBI and/or Tableau.
  • Experience with cloud‑based data warehouses (e.g. BigQuery or Azure) is highly desirable.
  • Familiarity with machine learning concepts and their application in insurance, particularly in real‑time scoring and fraud detection.
  • Knowledge of WTW insurance software RADAR desirable but not essential.
  • Excellent communication skills, ability to articulate complex findings and regulatory compliance impacts to non‑technical stakeholders.
  • Strong commercial acumen and ability to balance strict risk control with high‑speed customer experience in a competitive InsurTech environment.
  • Collaborative mindset, practical focus on actionable insights.
Our Commitment to You

We are dedicated to developing inclusive, user‑friendly products and services and believe teams should reflect the diverse range of our community.

What We Offer
  • 10% discretionary yearly bonus and yearly pay reviews based on RVU and personal performance.
  • Hybrid working 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%.
  • One‑off £300 “work from home” budget.
  • Excellent maternity, paternity, shared parental and adoption leave policy.
  • 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 and company‑wide events with external speakers.
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