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⚡ Source: ReedRef: 56692777

Senior Pricing Analyst

Vermelo RPO·London·Posted 1 months ago
🏠 Hybrid⭐ Senior
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Job description

Original text imported from Reed

Senior Pricing Analyst 

Locations: Peterborough, Manchester, Stoke, Southport, Kent, London, Cambridgeshire (Hybrid/Remote options available)
Department: Retail Pricing
Hybrid and largely remote options available 

Join a fast-paced, innovative environment where your pricing insights and analytical skills will directly influence strategic decisions and drive profitability across a diverse portfolio of personal lines products.

About the Roles

We’re looking for talented individuals at multiple levels — Senior Analyst, and Principal Analyst — to join our growing Pricing function. Whether you’re deep into data modelling or ready to lead pricing strategies and performance frameworks, we have the right opportunity for you.

Key Responsibilities Include:

  • Design and optimise pricing solutions aligned to business goals
  • Develop and maintain performance monitoring frameworks and risk models
  • Conduct in-depth analysis using predictive modelling to influence pricing decisions
  • Collaborate with cross-functional teams (Underwriting, Technical Modelling, Data)
  • Champion innovation, continuous improvement, and pricing best practice
  • Lead or contribute to strategic initiatives and tactical pricing interventions
  • Coach and mentor junior analysts

About You

We’re looking for curious, data-driven minds with the following experience:

  • Proven experience in General Insurance Pricing (Personal Lines preferred)
  • Strong coding skills in Python, R, SQL, PySpark and SAS
  • Experience with modelling techniques (GLMs, GBMs, Decision Trees, Neural Nets, Clustering)
  • Exposure to or expertise in WTW’s Radar or Emblem software
  • Excellent communication skills — both written and verbal — with a commercial mindset

Leadership candidates will also demonstrate:

  • Experience leading projects or teams
  • Ability to shape strategy and drive cross-functional collaboration
  • A passion for mentoring and developing talent

Why Join Us?

  • Be part of a collaborative, inclusive team making a tangible business impact
  • Work in a culture that values innovation and continuous learning
  • Take advantage of hybrid flexibility and multiple UK office locations
  • Progress your career through structured development opportunities and mentorship

SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
General Insurance PricingPersonal Lines InsurancePython programmingR programmingSQLGLM modellingGBM modellingDecision TreesNeural Networks
Nice-to-have
WTW RadarEmblem softwarePySparkSASTeam leadership experienceStrategic planning
Soft skills
CommunicationLeadershipMentoringCross-functional collaborationCommercial mindsetInnovationContinuous improvement
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight your General Insurance Pricing experience prominently as this is explicitly mentioned as essential

2

📊 Quantify your pricing impact: 'Optimised pricing models resulting in 15% profitability increase across 8 product lines'

3

🔧 Showcase your technical stack expertise - Python, R, SQL, PySpark and SAS are all specifically mentioned

4

🎯 Emphasise WTW Radar or Emblem software experience if you have it, as this is specifically called out

5

🤝 Demonstrate leadership examples if applying for senior roles, including team management and strategic influence

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AI SpeedCV

Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Developed GLM pricing models for 12 personal lines products using Python and R, improving risk selection accuracy by 23% and reducing loss ratios
  • Led cross-functional pricing initiative involving Underwriting and Technical Modelling teams, delivering £2.8M annual profitability improvement through optimised rate structures
  • Mentored 4 junior analysts in advanced modelling techniques including GBMs and Neural Networks, with 3 achieving promotion within 18 months

Free to copy — tailoring requires a 30-sec CV upload.

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Letter preview — tailored to Vermelo RPO

Dear Hiring Manager,

Vermelo RPO's Senior Pricing Analyst role perfectly aligns with my expertise in General Insurance Pricing and advanced modelling techniques including GLMs and GBMs. My proven experience with Python, R, and SQL, combined with my background in personal lines insurance, positions me ideally for driving pricing strategies across your diverse product portfolio.

My background in developing performance monitoring frameworks and leading cross-functional pricing initiatives has consistently delivered measurable business impact. I have successfully mentored junior analysts while implementing innovative pricing solutions that balance commercial objectives with technical rigour.

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SpeedCV AI

Interview questions

10 questions generated from this advert.

Technical

  • How would you approach building a GLM for motor insurance pricing?
  • Explain the difference between GBMs and traditional GLMs in pricing applications
  • How do you validate the performance of a pricing model?
  • What techniques would you use for clustering customer segments in personal lines?
  • How would you implement a pricing monitoring framework using Python?

Behavioural

  • Tell me about a time you had to influence pricing strategy across multiple departments
  • Describe a situation where you mentored a junior analyst through a complex project
  • Give an example of when you identified and implemented a pricing improvement
  • How do you handle conflicting priorities between commercial and technical requirements?
  • Describe a time you had to present complex pricing analysis to senior stakeholders
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time you had to influence pricing strategy across multiple departments

When our motor insurance portfolio showed declining profitability, I needed to coordinate with Underwriting, Claims, and Marketing teams to implement new pricing strategies. I analysed 18 months of claims data and identified that our current GLM was underpricing high-risk segments by 12%. I presented my findings to department heads, showing how revised risk factors could improve margins by £1.8M annually. Despite initial resistance from Marketing about rate increases, I demonstrated through scenario modelling that targeted adjustments would only affect 15% of renewals. The collaborative approach resulted in successful implementation within 3 months, achieving the projected profitability improvement.
2Question

Describe a situation where you mentored a junior analyst through a complex project

A junior analyst was struggling with building their first GBM model for home insurance pricing, becoming overwhelmed by hyperparameter tuning and validation processes. I scheduled weekly one-to-one sessions, breaking the project into manageable phases over 6 weeks. I guided them through feature engineering, cross-validation techniques, and model interpretation, providing hands-on coding support in Python. When they encountered issues with overfitting, I taught them regularisation techniques and ensemble methods. The final model achieved 8% better predictive accuracy than our existing GLM, and the analyst gained confidence to lead similar projects independently, earning recognition from senior management.

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