At a Glance
- Tasks: Tackle complex challenges using advanced analytics and AI to drive business impact.
- Company: Join Macquarie Group, a global leader in financial services with a supportive culture.
- Benefits: Enjoy 25+ days of leave, wellbeing support, and flexible working arrangements.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real difference by leveraging cutting-edge AI techniques in a collaborative environment.
- Qualifications: 4+ years in Data Science, proficient in Python or R, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
The Data Science, Analytics and AI group within Macquarie Asset Management aspires to create a data-driven decision-making culture and support business growth by advancing our capabilities in analytics and AI. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What role will you play? You will tackle complex challenges using advanced analytics and agentic AI. Leveraging state of the art AI techniques, you will deliver transformative business impact across our private market investment divisions, including Real Assets, Real Estate, and Credit and Insurance. Example challenges include:
- automating data extraction from unstructured investment documents
- building AI agents to streamline portfolio company analysis
- creating intelligent systems to support deal screening workflows
- developing tools that augment analyst productivity across asset classes
What you offer:
- 4+ years' experience in Data Science, working for a financial institution and ideally supporting across one or more private asset classes
- Highly proficient in Python or R, a deep understanding of cloud infrastructure, and hands-on experience building and deploying agentic AI workflows
- Experience with Anthropic Claude API or Google Gemini API strongly preferred and familiarity with Atlassian tools and scrum methodology is advantageous
- Excellent communication skills, able to translate business requirements into technical solutions and clearly articulate ML and AI approaches to a diverse range of stakeholders
- Able to thrive within a collaborative, multi-disciplinary, cross-functional agile scrum team, working alongside engineers, product owners and business stakeholders to deliver complex AI solutions
We love hearing from anyone inspired to build a better future with us; if you're excited about the role or working at Macquarie we encourage you to apply.
What we offer:
- 1 wellbeing leave day per year and a minimum of 25 days of annual leave
- 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers
- Paid fertility leave for those undergoing or supporting fertility treatment
- 2 days of paid volunteer leave and donation matching
- Access to a wide range of salary sacrificing options
- Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover
- Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
- Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
- Access to company funded emergency and backup dependent care services
- Recognition and service awards
- Hybrid and flexible working arrangements, dependent on role
- Reimbursement for work from home equipment
About Macquarie Asset Management: Macquarie Asset Management is a leading global asset manager, trusted by institutions, individuals and communities to responsibly manage $A720 billion in assets. MAM provides clients with a diverse range of investment solutions that seek to deliver superior risk-adjusted returns.
Our commitment to diversity, equity and inclusion: We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
Data Scientist - Macquarie Group in London employer: Macquarie Group
Macquarie Group is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to drive innovation in data science and AI. With a strong commitment to employee wellbeing, generous leave policies, and extensive professional development opportunities, Macquarie supports your career growth while ensuring a healthy work-life balance. Join a diverse team dedicated to making a meaningful impact in the financial services sector, all within a global organisation renowned for its stability and success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Macquarie Group in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Macquarie Group on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your Python or R skills. Be ready to discuss how you've tackled complex data challenges in the past. Show them you can translate technical jargon into business solutions!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your teamwork experience too! Macquarie loves collaboration, so share examples of how you've worked with cross-functional teams to deliver results.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Macquarie family. Good luck!
We think you need these skills to ace Data Scientist - Macquarie Group in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Macquarie. Highlight your experience in data science, especially in financial institutions, and showcase your proficiency in Python or R. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to Macquarie's mission. Be sure to mention any relevant projects or experiences that demonstrate your ability to tackle complex challenges using AI.
Showcase Your Communication Skills:Since excellent communication is key for this role, make sure to clearly articulate your technical skills and how they translate into business solutions. We love candidates who can bridge the gap between tech and business, so don’t hold back on showcasing this in your application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at Macquarie!
How to prepare for a job interview at Macquarie Group
✨Know Your Tech Inside Out
Make sure you brush up on your Python or R skills, as well as your understanding of cloud infrastructure. Be ready to discuss specific projects where you've built and deployed agentic AI workflows, especially if you've used the Anthropic Claude API or Google Gemini API.
✨Showcase Your Communication Skills
Prepare to explain complex technical concepts in simple terms. Think about how you can translate business requirements into technical solutions, and practice articulating your ML and AI approaches clearly for a diverse audience.
✨Emphasise Collaboration
Macquarie values teamwork, so be ready to share examples of how you've thrived in collaborative, cross-functional teams. Highlight any experience you have working with engineers, product owners, and business stakeholders to deliver AI solutions.
✨Research Macquarie's Culture
Familiarise yourself with Macquarie's commitment to diversity, equity, and inclusion. Be prepared to discuss how you can contribute to this culture and why it matters to you, showing that you're not just a fit for the role but also for the company ethos.
