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Senior actuarial analyst & data scientist - protection products

Fully
hays-gcj-v4-pd-online
Data Scientist
Inserat online seit: 2 April
Beschreibung

Your newpany
I’m recruiting for a rapidly growing protection provider looking for a Senior Actuarial Pricing Analyst / Actuary with a keen interest in data science, to play a key role in shaping pricing across Term Assurance, Critical Illness and Ie Protection.

Your new role
You’ll lead the design and delivery of advanced retail pricing models across a broad range of protection products, using statistical, predictive and machine‑learning techniques. The role involves developing models for demand, lapse, cross‑sell and pricing optimisation, while also driving both strategic and tactical pricing initiatives to supportmercial objectives. You’ll collaborate closely with teams across the business to deliver impactful pricing solutions, ensuring all models add realmercial value and improve customer oues by optimising performance against key KPIs.

You’ll essentially be involved in new product development, actuarial modelling, assumption setting andmercial strategy — while also having the opportunity to build on your Python and analytical skill set.

A fantastic opportunity for an actuarial analyst/newly qualified actuary (or by experience) who wants to make a real impact in a fast‑moving, customer‑focused environment.

What you'll need to succeed
To be considered, you'll need previous experience of pricing protection products, coupled with working knowledge of Python. This role would suit either a senior actuarial analyst or a newly qualified actuary (or by experience).

Experience in Protection Products and Python is essential.

What you'll get in return
They’re offering a basic salary of up to £70k DOE, plus benefits. The position is a 12‑month fixed‑term contract, but due to continued growth and several new protection products planned for launch over the next year, it’s highly likely to transition into a permanent role.
The role is fully remote, with the option to go into the office if you live nearby and prefer to work on-site.

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