Data Scientist Trainee (Investment 20/20 Program) at AXA Funds Management
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

31 Mar, 25

Salary

0.0

Posted On

28 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Dash, Sql, Financial Services, Coding Experience, Learning

Industry

Financial Services

Description

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.

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-essential
  • Advanced Excel.
  • Familiarity with interpreting accounting data and accounting statements -e.g. a company’s quarterly report”- Nice to have but non-essential
  • Motivated, driven, and ambitious.
  • Attention to detail.
  • Inquisitive and enjoys interpreting information and problem solving.
  • Comfortable working with data.
  • Good organisational skills able to multi-task and meet deadlines.
  • Self-starter who can work to your own initiative.
  • A ‘can do’ attitude to learning and enjoys developing new skills.
  • A good communicator, both oral and written.
Responsibilities

In this role, your main responsibilities will 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.
Loading...