Apprenticeship - Asset Management Data Programme - London - 2027

Legal & General; Greater London; On-site; GBP 16,000 - 20,000; Full time

Job summary

Legal & General (L&G) invites ambitious apprentices to join the Asset Management data team, where you’ll learn on real projects while earning as you train.

You’ll gain practical experience in data analysis, coding and reporting, supported by the Future Talent team and your line manager as you work toward a recognised qualification. You’ll also have opportunities to network with colleagues and contribute to meaningful data solutions.

Qualifications

• Apprenticeship role within Asset Management data team at a major UK financial services group.
• Learning while contributing to real business challenges and projects.

Responsibilities

• Applying learning from workshops and assignments to real business challenges
• Building your network and learning from your manager, team and wider colleagues
• Developing your skills in data analysis, coding and data visualisation tools
• Working with colleagues to understand business questions and data needs

Skills

Data analysis

Coding

Data visualisation

Tools

SQL

Data visualisation tools

Job description

Legal & General (L&G) is a leading UK financial services group and major global investor.

We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.

We are one of the world’s largest asset managers and provide powerful asset origination capabilities.

Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.

Who are Asset Management?

We are one of Europe’s largest asset managers and a major global investor across public and private markets, with £1.118 trillion in assets under management.

Asset management is a critical driver of our Group strategy. The business aims to work synergistically with our Institutional Retirement and Retail divisions to benefit our clients and customers, and deliver enhanced shareholder returns.

Our investment philosophy and processes are focused on creating value over the long term. We believe that incorporating financially material sustainability criteria, when relevant to our clients, can create value and drive positive change. This reflects L&G's purpose: 'Investing for the long term. Our futures depend on it.'

Job Description

About the L&G Apprenticeship Programme

Looking for an exciting opportunity to earn while you learn?

When you join L&G, you'll become part of our Future Talent community from day one. Our induction will help you settle in, meet other apprentices, learn about the business and discover how you'll contribute.

As you progress through your apprenticeship, you'll be supported by the Future Talent team, your line manager, experienced colleagues and your peers. You'll gain practical experience, learn new skills and apply your learning in a real workplace while working towards a recognised qualification. You'll also have the option to take part in networking and social events, helping you build relationships and grow your network across L&G.

You'll be part of a team, contributing to meaningful work while developing your skills, knowledge and experience.

About the team you’ll join

The Asset Management data team uses data to support planning and decision-making, improve how work is carried out and help deliver positive outcomes for clients and customers. You'll work with data professionals and colleagues across Asset Management, learning about data analysis, coding, reporting and visualisation while contributing to practical projects and solutions.

What you could be doing in this role

• Applying learning from workshops and assignments to real business challenges
• Building your network and learning from your manager, team and wider colleagues
• Developing your skills in data analysis, coding and data visualisation tools
• Working with colleagues to understand business questions and data needs