Transformation Senior Pricing Analyst in London

Transformation Senior Pricing Analyst in London

London Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
Vermelo

At a Glance

  • Tasks: Transform pricing capabilities and develop innovative pricing models using advanced data techniques.
  • Company: Join Markerstudy, a leading insurance provider with a mission to redefine customer value.
  • Benefits: Enjoy competitive salary, life assurance, bonus scheme, and generous annual leave.
  • Other info: Flexible hybrid working with opportunities for career growth and innovation.
  • Why this job: Make a real impact in a fast-paced environment while advancing your analytical skills.
  • Qualifications: Experience in insurance pricing, strong modelling skills, and proficiency in programming languages.

The predicted salary is between 50000 - 65000 £ per year.

Job Title

Transformation Senior Pricing Analyst Location

Peterborough, Manchester, London, Stoke-on-Trent (flexible hybrid working) We support remote working with occasional travel to our offices.

Are you ready to take your analytical skills to the next level and help transform pricing capabilities?

At Markerstudy, we're on a mission to redefine how we deliver value to our customers and the business.

This is your opportunity to join our Pricing Transformation team and play a key role in shaping the future of pricing across one of the UK's leading insurance providers.

Why this role matters As Transformation Senior Pricing Analyst, you'll work on developing and enhancing pricing models, monitoring portfolio performance, and deliver innovative pricing solutions that maximise value for both customers and the business.

You'll collaborate with peers across Modelling, Optimisation, and Street Pricing teams to ensure cutting edge approaches meet business objectives.

Ultimately, you'll play a pivotal role in driving the evolution of our pricing capability and ensuring we stay ahead in a fast moving market.

What you'll do: Conduct retail price optimisation analysis and modelling using advanced techniques.

Develop customer propensity and Lifetime Value (LTV) models.

Build and maintain sophisticated pricing models with advanced data science techniques using WTW Radar and Emblem.

Query and engineer large datasets (e. g., Python/R/SQL/Py Spark) on modern platforms (e. g., Azure Databricks).

Create innovative data solutions and present actionable insights to stakeholders.

Communicate results clearly to key decision-makers to influence pricing strategies.

Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing.

What we're looking for: Experience in general insurance pricing with strong modelling skills.

Proficiency in programming languages such as R, Python, Py Spark, SAS, or SQL.

Good knowledge of Azure Databricks and modern data technologies.

Experience with WTW Radar software is preferred.

A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science.

Excellent communication skills to convey complex technical concepts to technical and non-technical audiences.

A passion for innovation and continuous improvement.

What we offer A collaborative, fast-paced environment where innovation thrives.

Life assurance (4x salary), and yearly bonus scheme. 24 days annual leave increasing with length of service, plus

Transformation Senior Pricing Analyst in London employer: Vermelo

Tradex Insurance is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to make impactful decisions. With a strong focus on professional development, employees have access to continuous learning opportunities and the chance to work closely with senior leaders in a dynamic environment. The role of 2nd Line Risk Partner offers the unique advantage of influencing key risk frameworks while travelling to vibrant locations like Manchester and Brentwood, ensuring a diverse and engaging work experience.

Vermelo

Contact Details:

Vermelo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Transformation Senior Pricing Analyst in London

Dive Into Industry Networking Events

Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.

Use LinkedIn to Your Advantage

Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Vermelo). A thoughtful message explaining your interest can really make a difference!

Look Out for Graduate Schemes

Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.

Leverage Your Current Connections

Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Vermelo. Don’t shy away from asking for a coffee chat; you never know what doors it might open!

We think you need these skills to ace Transformation Senior Pricing Analyst in London

Analytical Skills
Pricing Modelling
Retail Price Optimisation
Customer Propensity Modelling
Lifetime Value (LTV) Modelling
Data Science Techniques
Python

Some tips for your application 🫡

Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.

Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.

Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Vermelo.

Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Vermelo. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.

How to prepare for a job interview at Vermelo

Know Your Numbers: Insurance Fundamentals

Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Vermelo to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.

Showcase Your Analytical Side

In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!

Prepare for Behavioural Questions

As a full-timer at Vermelo, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.

Know the Company Culture Inside Out

Understanding Vermelo's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.