Assistant Insurance Analyst

London, United Kingdom

Utility Warehouse

Get all your home services, including gas, electricity, broadband, mobile and home insurance from one company, helping you save time and money.

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Company Description

This is a hybrid role working from one of our London hubs 2 days per week

Hello, we're UW 

We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings!

We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. 

Got your attention? Read on…

About UWI

UWI is Gibraltar’s most recently authorised Insurer, owned by Utility Warehouse. We’re on a mission to offer great value Insurance, focussed primarily on owner-occupiers residing in the UK. Despite having been trading for just a few months, our insurer is already operating at financial breakeven, and we’re poised for substantial growth over the years ahead. You can find out more about our insurance products here.

We put people first. It’s all about you..

We’re looking to hire an Insurance Data Analyst to join the UWI team. We’re not looking for lots of experience but you will have learnt the basics of data analysis, modelling & pricing in a previous role and be looking to hone your skills in a high-growth insurance business.. 

Here’s some of the key skills and attributes we’re looking for:

  • You will have some experience of working in an analytical role, ideally within the insurance industry;
  • Whether through formal education or hands-on experience, you’ve developed a solid understanding of data analysis and are looking to grow your skills;
  • A logical thinker with a numerate or analytical background (e.g. experience or education in areas such as Maths, Data Science, Economics, or related fields);
  • Knowledge of SQL, Python, or big data tools is a plus but not required;
  • Portfolio/risk modelling interests you and you want to develop this skill set further;
  • Inquisitive with a passion for data and analysis
  • Strong commercial acumen with an understanding of the drivers fo a P&L
  • Can work under guidance but enjoy autonomy
  • Love working in an ever-evolving environment where you can make a tangible impact without the barriers of high levels of bureaucracy
  • Have a talent for making complex concepts easy for others to understand
  • Are an empathetic team player who values diverse perspectives and contributions in collaborative environments
  • Embrace iteration, high-paced delivery, and are comfortable with change

We welcome those with diverse backgrounds, and whether you’re early in your career or changing fields, we’d love to hear from you.

We work together. Your team and the people you will work with…

You’ll be joining a small, growing team of Finance and Insurance experts. This role reports to the Head of Finance and will work closely with CEO and Head of Compliance for UWI as well as the wider Insurance team at Utility Warehouse.

We deliver progress. What you’ll do and how you will make an impact.

As an Insurance Data Analyst you will be a key player in delivering a substantial and growing insurance portfolio by providing detailed insights and analysis. You will use your commercial and modelling expertise to help optimise our margin capture across the insurance portfolio and support the team in highlighting commercial risks via sensitivity and scenario analysis. 

Here’s what you’ll do on a day to day basis in this role:

  • Data gathering, analysis and modelling for Pricing, Consumer Duty and Product performance assessments;
  • Sensitivity & scenario analysis for forecasting and risk management purposes;
  • Develop pricing & margin optimisation, building and enhancing models and pricing methodologies;
  • Competitor information gathering & analysis;
  • Providing insight, analysis and trends on the customer portfolio to senior management for decision making;
  • Develop and implement rate changes using tools such as Willis Towers Watson EMBLEM and Radar;
  • Work closely with colleagues and other areas of the business to support overall business needs.

So why pick UW?

We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: 

  • An industry benchmarked salary. We’ll share it during your first conversation.
  • Share Options and a Save as You Earn scheme.
  • Hybrid working, with 2 days in the office. (We’re definitely open to discussing flexible working arrangements)
  • Electric Car salary sacrifice scheme through Tusker
  • Discount on our services and you get our coveted Cashback Card for free. 
  • A matched contribution pension scheme and life assurance up to 4x your salary.
  • Family-friendly policies, designed to help you and your family thrive.
  • Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP.
  • Belonging groups that help UW shape an even more inclusive future.
  • A commitment to helping you develop and grow in your role.

Additional Information

 

 

We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. If you need any help, support, or advice at any point during the hiring process please just let us know.

Please note, if you are applying for a role which involves having access to personal data, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.

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Category: Analyst Jobs

Tags: Big Data Data analysis Economics Finance Python Radar SQL

Perks/benefits: Career development Equity / stock options Flex hours Health care Insurance Startup environment

Region: Europe
Country: United Kingdom

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