Pricing Modelling Analyst

Competitive Salary

BGL Life

Open to Flexibility
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Here at BGL Life we like to be different – we’ve sold life insurance since 2012 and exist to make life insurance simple and accessible. Our digital, technical and data capabilities are something to be proud of, and we recognise there’s still more to be done!
As a Pricing Modelling Analyst, joining the first online alternative to the traditional world of Life Insurance, you will build pricing models for Life Insurance policies, delivering our profit targets for BGL Life via optimised, segmented pricing and increased model sophistication. This role is a 12 month FTC maternity cover. 
In this role, you’ll build advanced statistical pricing models, and support the design, development and delivery of new life insurance pricing propositions.  You’ll be part of a highly skilled team and being a team player is a prerequisite. Reporting to the Senior Manager of Pricing in BGL Life, you’ll perform well under demanding timescales to deliver new, accurate statistical pricing models using (e.g) Generalised Linear Models (GLM), decision trees, segmentation and stochastic analysis.
Working with leading experts within the life insurance industry who enhance our pricing capability, you’ll be motivated by the opportunity to work in an environment that encourages you to be creative and disruptive with your thinking in order to deliver influential outcomes.  Your ideas will be used to change the way that we run our business and you will have the opportunity to make a difference. 
Here at the BGL group we are passionate about people challenging themselves, building on their success and growing with us. This role gives you the opportunity to develop a deep understanding of BGL Life’s products, distribution and operating models whilst working in an environment where creative and disruptive thinking is supported to find a new analytical approach, which will deliver even more powerful outcomes.
What will it take to be successful as a Pricing Modelling Analyst?
  • You are ambitious, a forward thinker with a strong academic background, and with a graduate, or postgraduate degree in Statistics, Mathematics, or another analytical subject
  • You are rigorous, quality-conscious, with a desire to learn and apply new analytical approaches
  • You will flourish by working with like-minded people who inspire you to be creative and forward thinking in order to deliver influential outcome
  • You will be proficient with a range of packages (e.g. R, SQL, SAS, Excel or similar)
  • There will be no limits to your ability of using analytical techniques, pushing the boundaries and wanting to deliver exceptional commercial outcomes
  • You are confident, self-motivated, with strong communication skills
We are open to hear from applicants that come from various design backgrounds who believe they have some transferable skills for consideration. We will continue to review and progress the most qualified and suitable individuals.
Why Choose Us?
Founded in 1992, the BGL Group has grown significantly in size and capability. From 30 to 3,000 people, we are a leading digital distributor of insurance and household financial services.  BGL Group has reached 9.5 million customers through brands including,, Beagle Street, Budget Insurance & Dial Direct. We make a difference for our customers, colleagues and communities by working, growing and winning together. We enjoy what we do and have fun doing it. 
Diversity and Inclusion
We're a diverse community of dedicated, innovative and talented professionals. With an inclusive and open workplace, we encourage our people to create and share ideas – supporting their growth and celebrating their uniqueness. We're proud to be an equal opportunity employer and stand firmly against discrimination of any kind. 
Flexible working
We understand the importance of achieving a healthy lifestyle balance, whether it’s working remotely or flexibly we have an environment where people are empowered to embrace flexible working in a way that works for them and for the business. 

Opening Date 24.06.2020
Closing Date 24.07.2020
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