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- Tasks: Join as a trainee, managing data feeds and building analytical tools.
- Company: AXA Investment Managers is a leading responsible asset manager focused on long-term investments.
- Benefits: Enjoy a £28,000 salary, 27 days annual leave, and potential for permanent employment.
- Why this job: Gain industry knowledge, develop skills, and work in a supportive, ambitious environment.
- Qualifications: STEM degree preferred, coding experience in Python or SQL, and strong Excel skills required.
- Other info: Applications close on 31st March 2025; start date is September 2025.
The predicted salary is between 22400 - 33600 £ per year.
AXA Investment Managers is a leading responsible asset manager. Our purpose, to act for human progress by investing for what matters, is central to every action we take as a business. We actively invest for the long-term to help our clients, our people and the world to prosper.
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, if you perform well and if we have an open position available, 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, gain industry knowledge, experience, and develop relationships to progress your career. We will support you in achieving a professional qualification if you are interested. 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 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 using coding tools.
- Update and maintain SharePoint.
Your Profile Skills and Requirements:
- Preferably a STEM degree.
- Some coding experience in either Python or SQL.
- Advanced Excel skills.
- Familiarity with interpreting accounting data and statements is a plus.
- 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 on your own initiative.
- A 'can do' attitude to learning and enjoys developing new skills.
- A good communicator, both oral and written.
How to Apply:
Apply online with your CV and a cover letter including your answers to the following three questions in 250 words each:
- Why are you applying for this traineeship?
- Examples of Python use to manipulate and integrate data.
- Any analysis using equity fundamentals you might have done.
We are an inclusive employer. Please let the recruitment team know if you have a disability, condition, or difference that may require us to make adjustments.
Key Dates:
- Online applications close: 31st March 2025
- Start date: September 2025
Successful candidates will be asked to attend a competency interview followed by further operational interviews and an HR interview at the end of the process. AXA Investment Managers is an Equal Opportunity Employer, and we encourage candidates with disabilities or any other protected characteristic to apply.
Data Scientist - Equity Investment Trainee (Investment 20/20 Program) | London, UK employer: AXA Investment Managers
Contact Detail:
AXA Investment Managers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Equity Investment Trainee (Investment 20/20 Program) | London, UK
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as FactSet, Bloomberg, and Tableau. Having a solid understanding of these platforms will not only help you during the interview but also demonstrate your proactive approach to learning.
✨Tip Number 2
Brush up on your coding skills, particularly in Python and SQL. Consider working on small projects or contributing to open-source initiatives that involve data manipulation and integration, as this will give you practical experience to discuss during interviews.
✨Tip Number 3
Prepare for the competency interview by practising common questions related to teamwork, problem-solving, and your motivation for applying. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Tip Number 4
Network with current or former trainees from the Investment20/20 programme. They can provide valuable insights into the application process and what to expect during the trainee year, which can help you stand out as a well-informed candidate.
We think you need these skills to ace Data Scientist - Equity Investment Trainee (Investment 20/20 Program) | London, UK
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist - Equity Investment Trainee position. Familiarise yourself with the skills needed, such as coding in Python or SQL, and advanced Excel skills.
Craft a Tailored CV: Your CV should highlight relevant experiences and skills that align with the job description. Emphasise any coding projects, data analysis work, or academic achievements related to financial services or quantitative analysis.
Write a Compelling Cover Letter: In your cover letter, clearly articulate why you are interested in this traineeship. Address the three specific questions provided in the job description, ensuring each response is concise and showcases your relevant experience and enthusiasm for the role.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter. Check for spelling and grammatical errors, and ensure that your documents are well-structured and easy to read. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at AXA Investment Managers
✨Showcase Your Coding Skills
Since the role requires coding experience in Python or SQL, be prepared to discuss specific projects where you've used these languages. Highlight any data manipulation or integration tasks you've completed, as this will demonstrate your technical capabilities.
✨Demonstrate Your Analytical Mindset
The position involves interpreting accounting data and investment analytics. Be ready to share examples of how you've approached problem-solving in past experiences, especially if it relates to equity fundamentals or data analysis.
✨Emphasise Your Attention to Detail
Given the nature of the role, attention to detail is crucial. Prepare to discuss situations where your meticulousness has led to successful outcomes, particularly in data management or project work.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful queries about the team dynamics, the tools they use, or the future of the investment strategies at AXA IM. This shows your genuine interest in the role and the company.
