At a Glance
- Tasks: Join as a trainee to manage data feeds and support investment analytics.
- Company: AXA IM is a leading responsible asset manager with a focus on long-term investments.
- Benefits: Enjoy 27 days of annual leave, hybrid working options, and personalized learning paths.
- Why this job: Gain industry knowledge, network with peers, and develop skills for a potential permanent role.
- Qualifications: STEM degree preferred; coding experience in Python or SQL is a plus.
- Other info: Applications close on March 31, 2025; start date is September 2025.
The predicted salary is between 22400 - 33600 £ per year.
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, 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.
Supporting qualitative strategies focussing on:
- Support PMs in building well-constructed portfolios.
- Provide support for ESG/sustainability integration & analytical research/quant insights for alpha generation.
- Provide analytical support for new product concept evaluations, product transformations and new client requirements.
- Provide investment oversight & challenge.
Supporting quantitative strategies focussing on:
- Build an alpha quality toolkit that aids with faster signoff for production.
- Build new fundamental mappings.
- Build tools that identify and improve back testing data quality.
- Review and propose improvements to proprietary Machine Learning models.
Responsibilities Include
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.
Your Profile
Skills And Requirements
If you are a graduate who has an interest in working within financial services and has the following attributes, we are interested 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.
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. Unsuccessful candidates at CV submission stage will be notified by email.
About AXA
The AXA Group is a global leader in insurance and asset management, with 160,000 employees serving 105 million customers in 62 countries. We protect and advise our clients at every stage of their lives, offering products and services that meet their needs in the areas of insurance, personal protection, savings and asset management.
Our mission: To act for human progress by protecting what matters. Our values: Customer first, Integrity, Courage and One AXA.
What We Offer
We are committed to offer you an environment where you can:
- Grow your potential : Be part of a forward-thinking business with internal opportunities and personalized learning paths available to help constantly develop your skills and abilities.
- Shape the way you work : Work for a company which is highly committed to providing flexibility & balance to its employees, offering you a large range of benefits (hybrid working, competitive health benefits, among many others).
- Thrive within a diverse community : Play a role within a responsible company that actively recognizes and values individual differences in a diverse and inclusive workforce.
- Move the world forward : Join a responsible employer that acts in favor of societal and environmental causes as an investor, insurer and company.
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Data Scientist - Equity Investment Trainee (Investment 20/20 Program) 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)
✨Tip Number 1
Familiarize yourself with the specific 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
Showcase your coding skills by working on small projects using Python or SQL. Create a portfolio that includes examples of how you've manipulated and integrated data, as this will be crucial for the role and can set you apart from other candidates.
✨Tip Number 3
Network with current or former trainees from the Investment20/20 program. They can provide valuable insights into the application process and what to expect during the trainee year, which can help you tailor your approach.
✨Tip Number 4
Prepare for the competency interview by practicing common questions related to teamwork, problem-solving, and your motivation for joining AXA IM. Being able to articulate your passion for responsible investment and your career goals will resonate well with the interviewers.
We think you need these skills to ace Data Scientist - Equity Investment Trainee (Investment 20/20 Program)
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customize your cover letter specifically for the Data Scientist - Equity Investment Trainee position. Highlight your interest in responsible asset management and how your skills align with AXA IM's mission to invest for what matters.
Answer the Key Questions: In your cover letter, address the three specific questions provided in the job description. Be concise and ensure each response is around 250 words, showcasing your motivation, coding experience, and any relevant analysis you've conducted.
Showcase Relevant Skills: Emphasize your coding experience in Python or SQL, as well as your familiarity with tools like Jupyter Notebook and Dash. Mention any projects where you have manipulated or integrated data, as this will demonstrate your technical capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. A polished application reflects attention to detail, which is crucial for a role that involves managing and analyzing data.
How to prepare for a job interview at AXA Investment Managers
✨Show Your Passion for Responsible Investment
Make sure to express your enthusiasm for responsible asset management and how it aligns with your values. Discuss why investing for human progress matters to you and how you can contribute to AXA IM's mission.
✨Demonstrate Your Technical Skills
Be prepared to discuss your coding experience, especially in Python or SQL. Bring examples of projects where you've manipulated or integrated data, and be ready to explain your thought process and the impact of your work.
✨Highlight Your Analytical Abilities
Since the role involves analytical support, share specific instances where you've interpreted complex data or accounting statements. Show how your attention to detail and problem-solving skills have led to successful outcomes in past experiences.
✨Prepare for Behavioral Questions
Expect competency-based questions that assess your motivation, drive, and ability to work independently. Use the STAR method (Situation, Task, Action, Result) to structure your responses and illustrate your capabilities effectively.