Data Scientist - Equity Investment Trainee (Investment 20/20 Program)

AXA Group
London
1 week ago
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Description

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

Company Overview

Our ambition is to be a leading responsible asset manager.

At AXA IM, our purpose, to act for human progress by investing for what matters, is central to every action we take as a business.

As a responsible asset manager, we actively invest for the long-term to help our clients, our people and the world to prosper.

Our conviction-led approach enables us to uncover what we believe to be the best global investment opportunities across alternative and core asset classes. We are already entrusted with €824 billion in assets (as of end of December 2022).

Working as part of the AXA Group, a world leader in financial protection, our team of over 2,600 people (as of end of December 2022) around the world combine a range of specialist skills and experience to best serve the needs of our clients.

The combination of responsible, active and long-term defines our investment philosophy, but also how we run our business, what underpins our clients' partnerships with us, and what drives our people.

Being responsible is in our DNA as a firm and is central to our ethos as an employer. It is embedded in how we grow and protect our people. It unites our team, from our leaders, to our growing number of specialists, to the newest members of our teams.

Careers at AXA IM

Empowering our people to drive progress

As part of a responsible, progressive organisation, our people help us to invest for what matters. Everyone in our diverse, global family shares this responsibility.

Together our people push boundaries and drive forward ideas. They're willing to be bold and take the lead, using initiative and enterprise to create exceptional service. The kind of service that seeks to drive long-term prosperity for our clients, society and the world we live in.

Programme information

You will join as a trainee as part of the Investment20/20 one-year trainee programme. While we can't guarantee a permanent position at the end of the 12-month contract, however, if you perform well & if we have an open position available at the time, then permanent employment could be a possibility. The Investment20/20 trainee programme is offered by many investment management firms and 75% of the 2,000 Investment20/20 trainees are offered permanent positions at the end of the one year.

As a trainee, you will be introduced to investment management and you will gain industry knowledge, experience and develop relationships to progress your career and develop skills to secure a permanent role. We will support you in achieving/starting a professional qualification if this is something you are interested in doing (most firms offer it and we highly recommend doing so). As part of the Investment20/20 programme, you will have opportunities to meet and network with over 300 trainees across the industry and participate in socials and insight events.

Our trainee programme is a fixed term one-year contract paying £28,000. You will receive 27 days annual leave. All roles are based in London.

The Team

The Quantitative Solutions team comprises EQI that is AXA IM's Quantitative Equity manager and a team that provides analytical support to AXA IM's qualitative Equity strategies.

Responsibilities include

Manage, maintain, and enhance data feeds into FactSet and Bloomberg.Integrating data into analytical tools and help EQI to utilise data from FactSet and Refinitiv.Help with the project of visualising our investment analytics in Tableau.Help build tools we would like, using coding tools.Update and maintain SharePoint.Qualifications

Skills and requirements

If you are a graduate who has an interest in working within financial services and has the following attributes, we are interest in hearing from you.

Preferably a STEM degree.Some coding experience in either Python or SQL and ideally, some familiarity with Jupyter Notebook and Dash - Nice to have but non-essentialAdvanced Excel.Familiarity with interpreting accounting data and accounting statements -e.g. a company's quarterly report

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