Jobs

Pricing Modelling Analyst


Job details
  • Homeprotect
  • New Malden
  • 2 months ago
Applications closed

ABOUT HOMEPROTECT

We founded Homeprotect on a simple principle – to provide protection to people underserved by the home insurance industry.

We’re experts at insuring people who want to build or buy a unique property, renovate, rent a home or leave it unoccupied. We can cover people who travel a lot, run a business from home or even collect rare treasures. We protect people who love living in a listed building, having a view of a river or sunbathing on a flat roof.

We can do this because our smart tech enables our customers to get an instant, online quote to cover a huge range of complex needs and our UK customer support teams are on hand to provide information and support when only a real person will do.

Our insurance has already empowered hundreds of thousands of people to protect their homes and the things they love. But we’re not content with being the leading provider of what’s called ‘non-standard’ insurance. We believe there’s no such thing as ‘standard’. We’re all unique and we all deserve home insurance designed with our individual needs in mind – something our combination of real people and smart tech enables us to do.

Our simple promise? Whoever you are and wherever you live, with Homeprotect we’ve got you covered.

WHAT IT’S LIKE TO WORK HERE

Our customers come from all walks of life and so do our people. We’re a small but perfectly formed team, made up of insurance industry specialists alongside a diverse mix of technologists, data scientists and customer and marketing champions from all sorts of industries and backgrounds. We all bring our individual expertise, an appetite for innovation and a shared ambition to empower people to protect their homes and the things that they love.

Working in a fast-paced environment where change happens regularly is how we do things. But we also recognise that you’ll do your best work when you have the right balance, and that’s why we have fully embraced hybrid working, and in some cases, fully remote working, giving our teams the flexibility to choose the right location and working hours for them. We prefer to focus on the outputs of their work, not where they complete it. That said, there will be times when getting together in one location makes sense, but day-to-day, our teams have the freedom to decide where to work and we trust that they’ll make the right decision balancing the business needs and their own preferences.

Most companies think their culture is great, however at Homeprotect, we have the proof to back this up. We have been recognised externally as a Great Place to Work for the last five consecutive years.

Sound good? Read on to find out more about joining our team…

Key Responsibilities:

Your main responsibility will be to build, innovate, refresh and productionise predictive models used within HomeProtect’s proprietary Retail Pricing suite. The models you build will have a direct impact on prices, improve customer experience and help drive the commercial performance of the company. You will perform split tests between the models you maintain by tracking performance, making recommendations on what to do next. 

In addition to building models, you will also work closely with the Senior pricing analyst implementing changes to price selection logic based off trading performance. You will work closely with other members of the Retail Pricing team, Technical Pricing team, Data Scientists, Software Engineers, Marketing Experts and other key internal stakeholders to provide actionable insights with the aim of improving the commercial trading position of the business.  

The data science and pricing teams utilise SQL for data access and Python for data processing, analysis, modelling and price setting. These opensource tools and resources will form part of what will become an increasingly expanding toolkit used to find the best price for the customer and the best price for Home Protect. We don’t use off the shelf price tools, rather we have developed our own software to select optimal prices. 

Your role will have you utilising data collected from millions of quotes to identify where incremental revenue can be gained through retail pricing actions. You will work in a fast paced and rewarding environment deploying frequent price changes to the market with the benefit of seeing the results within a matter of days. You will collaborate directly with the developers of the pricing software/optimization suite and will therefore have influence over how to adapt said pricing software/optimization suite to capitalize on the opportunities you have identified.

This role will:

  • Be instrumental to the growth of the business using data to develop and optimise a variety of strategies in the retail pricing space
  • Collaborate closely with the Retail and Technical pricing teams to determine better positions in the market
  • Be very technical with most of your time spent improving and innovating using Python

Requirements

Knowledge, Skills and Experience: 

We would love to hear from people with the following skills and experience for this role:

  • 1-2 years experience as an analyst in Insurance, Financial Services, Retail, Travel or a similar fast paced industry
  • High quality numerate degree (Data Science, Mathematics, Physics, Engineering etc.). Degrees from other disciplines will be considered with relevant industry experience
  • An understanding of statistics and machine learning best practices
  • Competent using Python and its data science ecosystem for data manipulation, data visualization and statistical modelling
  • Excellent data manipulation and reporting skills using SQL and MS Excel; Experience with PowerBI or Tableau would be a plus
  • Strong problem-solving skills: able to effectively analyse new situations, and to suggest and implement pragmatic solutions

Benefits

We think we have a fantastic company culture and welcome new team members with open arms. We also offer a great range of benefits, including:

  • Enhancing and upgrading your Python Skills by working closely with some very talented Data Scientists
  • A genuinely flexible approach to work. We are really supportive of you flexing your hours and location to help you keep everything in your life in balance
  • Opportunities to focus on your professional growth whether that’s through training or other personal development opportunities - we want you to build your long-term career with us
  • Discounted home insurance for you, your friends and your family
  • An in-house wellbeing programme including seminars and workshops from wellbeing coaches and professionals
  • Home working starter kit and money to spend on additional equipment you may need
  • Charitable giving scheme, so you can donate to our partner charity, or one of your choice
  • The opportunity to work alongside brilliant people, because this isn’t something that every organisation can offer!

On top of that, we also offer all the standard stuff, like:

  • 25 days’ holiday (plus bank holidays) and the ability to buy and sell >5 days annually
  • Private medical cover
  • Life insurance
  • Annual discretionary bonus scheme
  • Pension contribution
  • Free fruit and really good coffee for the days you come into the office
  • Local and national retail discounts

Have we captured your imagination? If so, we’d love to hear from you!

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