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Actuarial Data Lead at Royal London
Macclesfield, United Kingdom


Job Descrption

Job Title: Actuarial Data Lead

Contract Type: Permanent   

Location: Alderley Edge  

Working style: Hybrid 50% home/office based

Closing date: 8th May 2024

 

We are seeking an experienced Actuarial Data Lead to join our team in Alderley Edge. You will play a crucial role in managing and analysing data to support actuarial initiatives and drive business decisions, with a focus on pensions de-risking projects. Your technical expertise and strong analytical skills will contribute to the overall success of our team.

 

In this role, you will collaborate closely with actuaries and other stakeholders to design, develop and implement data transformation processes. You will work with system administration and technology teams to manage the integration of bulk purchase annuity scheme data into actuarial valuation models, from buy in to data cleanse and buy out. Additionally, you will actively participate in cross-functional projects, providing leadership and guidance to a team of actuaries and data analysts.

 

The role will sit within the Actuarial Systems & Development Data Team which develops, tests, and maintains actuarial data processes, supporting asset and liability model input creation, experience investigations and with-profits management. The team also provides support to various data driven projects across Royal London.

 

This is an excellent opportunity for a detail-oriented professional who thrives in a fast-paced environment and enjoys working with complex actuarial and pensions data. If you are a driven individual with a passion for data and looking to take the next step in your career, we would love to hear from you.

 

About the role

 

  • Manage the provision of and/or provide specialist actuarial data advice and analysis required by the Group, either as a technical expert or through the management of a team of actuarial professionals.
  • To design and develop strategic actuarial data solutions for valuation of new products or resulting from business-led system changes.
  • Manage the integration of bulk purchase annuity scheme data into actuarial valuation models, from buy in to data cleanse and buy out.
  • Provide leadership and management to a team of actuaries, actuarial trainees, and actuarial technicians.
  • Carry out financial analysis using complex actuarial and analytical techniques to support team, department or wider business planning and other activities as required.

 

About you

 

  • Relevant experience working with actuarial and financial data.
  • Excellent DB pension knowledge with experience of working with scheme data and administration systems.
  • In-depth understanding of actuarial concepts and techniques required to fulfil the role.
  • Highly proficient in manipulation of large data sets and a keen interest in programming with experience in SQL or similar.
  • Ability to communicate in a professional manner with colleagues and senior managers across the department, wider business and to third parties.
  • Excellent understanding of life and pensions products including competitors’ products.

 

About Royal London

 

We’re the UK’s largest mutual life, pensions, and investment company, offering protection, long-term savings and asset management products and services.   

 

Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. 

 

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here - Our Benefits  

 

Inclusion, diversity and belonging 

 

We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background. 

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