At a Glance
- Tasks: Lead a team to analyse data and improve home risk pricing strategies.
- Company: Join Hastings Direct, a digital insurance provider with big ambitions.
- Benefits: Enjoy flexible working, competitive salary, and a range of health perks.
- Other info: Inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in the insurance industry with innovative pricing solutions.
- Qualifications: Strong analytical skills and coding experience, preferably in Python.
The predicted salary is between 36000 - 60000 £ per year.
Welcome to Hastings Direct. We’re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We’ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture. We provide insurance for over four million customers, but we know there’s even bigger opportunity out there – our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company. Pricing is more than just a number – it’s a strategic capability. At the heart of Hastings is deep risk insight – continually improving how we assess, segment and price risk through data and analytics.
The role: The risk pricing manager will lead a team of 2 analysts with the aim of delivering our profit and growth targets for home.
Key Accountabilities- Prioritising team resource and workstack items to help achieve our home profit and growth targets
- Analysing various data sources (including loss, policy, quote and market data) to identify opportunities to improve our risk pricing
- Developing & delivering new insight, including the integration of new data, new innovative techniques and ways of working
- Working closely with Actuarial, Data Science, Underwriting, Data Engineering, Account Management, Retail and Counter Fraud / Digital teams
- Critically review technical models produced by actuaries and data scientists
- Analyse the above models to determine the optimal way to combine these model outputs to improve the pricing algorithm
- Analyse the models to identify segments where prices can be improved
- Create and maintain tools that enable us to source new pricing leads on an automated basis
- Representing the home team on various underwriting projects to generate value for the wider business
- Support the team through peer reviews, coaching and mentoring
- Ensure that we are meeting customers’ fair and reasonable expectations and provide fair outcomes for our customers
What we’re looking for:
- Strong general insurance background/knowledge preferable
- Strong Analysis and coding experience. Python preferred, but if experience is with other coding languages then this can be trained up
- Comfortable working with and analysing numerical/statistical data
- Thirst for making change / Inquisitive, curious nature
- Collaborates well with colleagues from own team and other teams
- Good communication skills, written and verbal
Interview Process:
- Recruiter screening call
- 1st Round – Intro call with Hiring manager
- 2nd Round – Case study round
Join us and you’ll 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, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.
As a Disability Confident employer, we’re committed to ensuring our recruitment processes are fully inclusive – what this means to you is if you’re applying for a job with us, you’ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).
Benefits: in addition to a competitive salary and £5k car allowance you will also receive…
- Flexible working – we champion a flexible hybrid working approach
- Competitive bonus scheme – all colleagues are eligible for our annual 4Cs performance bonus
- Physical wellbeing – as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (PMI)
- Financial wellbeing – 4x salary life assurance, income protection, matched pension contributions up to 10%, plus discounts, cashback, mortgage advice and financial wellbeing support
- Mental wellbeing programme – Thrive app, employee assistance, mental health first aiders, support groups
- Additional perks – 27 days annual leave + bank holidays, health care plans, dental plans, Cycle to work, tech schemes and more
Hastings Group is an equal opportunities employer and we welcome applications from all suitably skilled persons regardless of gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.
Home Risk Pricing Manager in Bexhill-on-Sea employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Home Risk Pricing Manager in Bexhill-on-Sea
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Hastings Direct. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for your interviews by diving deep into our company culture and values. Show us how your curiosity and collaborative spirit align with our 4Cs – it’ll make you stand out!
✨Tip Number 3
Practice makes perfect! Get comfortable with case studies and technical questions related to risk pricing. The more you rehearse, the more confident you'll feel during the real deal.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re serious about joining the Hastings team.
We think you need these skills to ace Home Risk Pricing Manager in Bexhill-on-Sea
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Home Risk Pricing Manager role. Highlight your experience in insurance, data analysis, and any coding skills you have. We want to see how your background aligns with our goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for pricing and analytics, and how you can contribute to our team. Don’t forget to mention your curiosity and collaborative spirit – we love that!
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and any relevant projects you've worked on. We’re looking for someone who can dive into data and come up with innovative solutions, so let us know what you’ve done!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about the role and our company culture there!
How to prepare for a job interview at Hastings Direct
✨Know Your Numbers
As a Home Risk Pricing Manager, you'll be dealing with a lot of data. Brush up on your numerical and statistical analysis skills before the interview. Be prepared to discuss how you've used data in past roles to drive pricing strategies or improve outcomes.
✨Show Your Curiosity
Hastings Direct values curiosity and innovation. Think of examples where you've challenged the status quo or introduced new ideas. This will demonstrate your inquisitive nature and willingness to make meaningful changes in the pricing process.
✨Collaborate Like a Pro
Since the role involves working closely with various teams, be ready to share experiences where you successfully collaborated with others. Highlight your communication skills and how you’ve built relationships across departments to achieve common goals.
✨Prepare for the Case Study
The second round includes a case study, so practice analysing data sets and presenting your findings clearly. Familiarise yourself with common pricing models and be ready to discuss how you would approach real-world scenarios related to home insurance pricing.