Home APP Pricing Analyst
Bexhill / Hybrid - 37, United Kingdom
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Hastings Direct
Hastings Direct for straightforward car, bike, van and home insurance. Save time and money on insurance. Get a quote and buy online today!Job Title: Pricing Analyst - Home APP
Location: London / Leicester / Bexhill
Welcome to Hastings Direct
Weāre a digital insurance provider with a clear strategy to become the best and biggest player in the UK market. As a company, weāve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance team, we're doing exactly the same ā building a market leading finance technology platform, investing in our team and our approach to leadership development, with a real focus on commercially adding value to the business.Ā
The fact youāre now reading this job advert means weāve tempted you to find out more about #lifeatHD. If you like what you see, we hope you'll consider joining our team. Ā
We have high standards and understand some people may not apply for jobs unless they feel they tick every box. If youāre excited about joining us and think you have some of what we are looking for, even if youāre not 100% sure, we would love to hear from you.
Role overview Ā
To deliver our profit and growth targets for Home, through the use of innovative analytics, creating a new product within the Home eco system, which leads to segmented pricing changes that we can apply to our live rates and generate incremental growth for the Home portfolio.
Job details
Analysing various data sources (including loss, policy, quote and market data), to identify opportunities to improve our risk pricing to help deliver the ambitious growth targets we have for our Hastings home businessĀ
Developing & delivering new insight, including the integration of new data, new innovative techniques and ways of workingĀ
Working closely with Actuarial, Data Science, Underwriting, Data Engineering, Account Management, Retail and Counter Fraud / Digital teamsĀ
Critically review technical models produced by actuaries and data scientistsĀ
Analyse the above models to determine the optimal way to combine these model outputs to give a starting point for our pricingĀ
Analyse the models to identify segments where prices can be improvedĀ
Create tools that enable us to source new pricing leads on an automated basisĀ
Ensure that we are meeting customersā fair and reasonable expectations and provide fair outcomes for our customers
Essential skills/experience:Ā Ā
Strong numeric and problem solving skillsĀ
Strong Analysis and coding experience. Python preferred, but if experience is with other coding languages then this can be trained upĀ
Comfortable working with and analysing numerical/statistical dataĀ
Appetite to learn new skillsĀ
Collaborates well with colleagues from own team and other teamsĀ
Good communication skills, written and verbalĀ
Good knowledge of the personal lines insurance market preferred, but other backgrounds will be considered, including non-insurance backgroundsĀ
The interview process:
Our interview process involves the below:Ā
Recruiter screening callĀ
1st stage interview with hiring leader
2nd Technical interview Panel format
As a Disability Confident employer, weāre committed to ensuring our recruitment processes are fully inclusive ā what this means to you is if youāre applying for a job with us, youāll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our careers website
Benefits: In addition to a competitive salary you will also receiveā¦
Flexible working āĀ we champion a flexible hybrid working approach ā please speak to your recruiter to discuss in more detail
Competitive bonus schemeĀ - all colleagues are eligible for our annual 4Cs performance bonus
Financial wellbeing ā as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winning package which includes ā discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme ā we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
There's more! ā 25 days annual leave + bank holidays, with the option to buy or sell one of yourĀ weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ā¦.
Join us and youāll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, youāll be helping to drive our growth, so in return, weāll give you all the support, training and development you need. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, weāll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
At Hastings Direct, weāre committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date:
30/07/2025* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Engineering Finance Python Statistics
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Salary bonus Startup environment Team events
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