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Legal & General is hiring a

Senior Commercial Pricing Analyst

Company Description

Legal & General supports the savings, protection and retirement needs of around 14 million people through our portfolio of retail and workplace businesses.

Our Retail division helps people enjoy a more colourful retirement, both directly and through their employers, including Lifetime Mortgages, Retirement Interest Only Mortgages and financial advice on our range of lending products.

We are the UK’s number one individual life insurer and also provide Group Protection products for employers, helping people to plan for the unexpected.

Joining us means helping create brighter financial futures for all our customers.

Job Description

We’re recruiting for a Senior Commercial Pricing Analyst to join our Retail Annuity business here at L&G.

In this role, you will help to develop and enhance our pricing models by leveraging actuarial expertise and modelling/data science skills to optimise rate changes and improve pricing strategies.

This is a hybrid working opportunity, allowing you to work flexibly from both our London Office and your home.

What you'll be doing:

  • Developing and maintaining sophisticated pricing models for Retail Annuity products.
  • Incorporating actuarial concepts and advanced data analytics to ensure accurate and competitive pricing.
  • Analysing market trends and competitor landscape to inform annuity pricing.
  • Collaborating with Risk Pricing and other cross-functional teams to implement pricing improvements.
  • Providing commercial insights into the regular reviews of pricing assumptions and methodologies.
  • Utilising modelling and data science techniques to extract insights from large datasets.
  • Developing and maintaining documentation for pricing models, methodologies, and processes.
  • Ensuring that customer outcomes and Consumer Duty are met within rate changes and pricing.
  • Mentoring junior team members to help contribute to the overall knowledge base of the pricing team.

Qualifications

Who we're looking for:

  • Preferably a Nearly/Newly Qualified Actuary (e.g. Fellow of the Institute and Faculty of Actuaries or equivalent).
  • Data Science skills or strong data modelling experience is highly desirable.
  • Knowledge of data science techniques and their application in actuarial work.
  • Advanced Excel skills, including VBA, with strong programming skills in R and/or Python being preferable.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable.
  • Familiarity with relevant regulatory requirements and accounting standards.
  • Understanding of investment principles and asset-liability management.
  • Awareness of current trends and developments in the annuity market.
  • Strong analytical and problem-solving capabilities.
  • Good verbal and written communication skills.
  • Ability to manage self, by working on multiple projects concurrently and meeting deadlines.
  • Experience managing small projects or more junior members of staff is desirable.

Benefits

  • The opportunity to participate in our annual, performance-related bonus plan and valuable share schemes.
  • Generous pension contribution.
  • Life assurance.
  • Private medical insurance.
  • At least 25 days holiday, plus public holidays, increasing to 26 days after 2 years’ service.
  • Competitive family leave.
  • Participate in our electric car scheme, offering employees the option to hire a brand-new electric car.
  • Discounts for our own products and at a range of high street stores and online.
  • Our offices are great spaces to connect and collaborate, with wellbeing at the heart.

Legal & General is a leading financial services group and major global investor, named Britain’s Most Admired Company in 2023.

If you join us, you’ll be part of a welcoming culture, with opportunities to collaborate with people of diverse backgrounds, views and experiences.

We strive to be open, mindful and inclusive, so are always willing to discuss flexible working arrangements and reasonable accommodations for candidates with specific needs.

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