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Pricing & analytics graduate

Manchester
AXA
Posted: 30 June
Offer description

AXA UK Manchester, England, United Kingdom


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AXA UK Manchester, England, United Kingdom

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Description


Description

It’s an exciting time to join us here at AXA UK, as a graduate in our Retail business. You’ll be provided with excellent career development opportunities and placements in at least 3 areas of our Pricing and Analytics department. You’ll quickly become part of these teams, providing technical support using an array of tools and methods in the analytics, modelling, pricing, underwriting, data science and governance disciplines to develop your understanding of insurance pricing and underwriting.

You'll build on traditional approaches on established systems as well as on new infrastructure and draw on emerging data science practices to provide insight. Through your personal and tailored development plan (which will be owned and driven by you), you'll have the constant support and guidance of your line managers and mentors to learn and develop.

At AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work the majority of your week away from home, at our Manchester office.

What you’ll be doing:


* Create, maintain, validate and reconcile exposure and claims data to be ready for analysis/modelling.
* Support creation, maintenance, deployment and testing of predictive models. Build insight using this data to identify trends and patterns to inform actions supporting line of business strategy.
* Ensure processes are efficient and enhanced to meet business needs and customer expectations.
* Assist in producing and developing appropriate and accurate monitoring for stakeholders to support decision-making.
* Use a developing skill set to suggest and provide routine analysis that supports the strategy in respect of relevant Business Lines. We’re always looking for innovative ways to improve what we do.
* Spend time in the different areas of the Pricing and Analytics team, developing a well-rounded skillset from data science, risk modelling, demand modelling, to understanding how we ensure customer fairness and determine footprint appetite.


Working Hours & Shift Pattern: Full time, 35 hours per week, Monday to Friday. Due to the nature of your learning pathway, we’re unable to fulfil part time or flexible work patterns.

Due to the number of applications we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.

What you’ll bring:

* Excellent numerical mathematical skills. 2.1 degree or higher in a mathematics, statistics or other numerate degree such as physics and quantitative risk/finance.
* A-Level Mathematics A Grade or equivalent.
* Ability to demonstrate high levels of problem-solving skills and initiative.
* Effective communication skills to help establish a network within AXA.
* Continuous appetite to learn, develop skills and complete a relevant professional qualification.
* Ability to plan and prioritise own work with a high level of attention to detail.
* Embrace teamwork by supporting and respecting others.
* Knowledge and experience of modelling techniques and computer languages such as R, Python, SAS, SQL, Excel VBA or other analytical language/tools would be desirable.
* Ability to work under pressure and to strict deadlines whilst maintaining reliability and accuracy.


What We Offer

At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

* Competitive annual salary of up to £36,500
* Annual company & performance-based bonus
* Contributory pension scheme (up to 12% employer contributions)
* Private health cover
* Life Assurance (up to 10 x annual salary)
* 25 days annual leave plus Bank Holidays
* Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
* Wellbeing services & resources
* AXA employee discounts


To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to axa.retail@reed.com.

Who we are:

AXA Retail helps people live the life they love, knowing we’ve got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We’re a dynamic team of experts completely committed to making sure our customers ‘get back to the good stuff’ when the unexpected happens.

What We Offer

What we offer

At AXA UK, we’re appreciative of the people who work for us and our rewards package is reviewed regularly to reflect that. You can expect to receive:

* Competitive annual salary of up to £36,500
* Annual company & performance-based bonus
* Contributory pension scheme (up to 12% employer contributions)
* Private health cover
* Life Assurance (up to 10 x annual salary)
* 25 days annual leave plus Bank Holidays
* Opportunity to buy up to 5 extra days leave or sell up to 5 days leave
* Wellbeing services & resources
* AXA employee discounts


To apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to axa.retail@reed.com.



Seniority level

* Seniority level

Internship


Employment type

* Employment type

Full-time


Job function

* Job function

Research, Analyst, and Information Technology

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