At a Glance
- Tasks: Shape the future of data for a leading financial services group.
- Company: Join Macquarie, a global leader in financial services with a supportive culture.
- Benefits: Enjoy 25+ days annual leave, wellbeing days, and flexible working arrangements.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make an impact by connecting data needs with innovative solutions in a fast-paced environment.
- Qualifications: Experience in data product roles and strong communication skills are essential.
The predicted salary is between 70000 - 90000 £ per year.
Help shape the future of the data ecosystem that powers one of Macquarie’s most data‑driven businesses. Our Commodities and Global Markets (CGM) teams rely on fast, trusted and well‑governed datasets to drive trading intelligence, price risk, execute strategies and develop advanced analytical models. As we strengthen our Data as a Service (DaaS) capability, you will help ensure our markets business has seamless access to the high‑quality data it needs to operate with precision, speed and confidence.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
You will take a leading role in shaping and owning our Data as a Service (DaaS) capability for Commodities and Global Markets, ensuring that high‑quality, well‑governed data underpins decision‑making across one of Macquarie’s most sophisticated and fast‑paced businesses. As the strategic connector between front‑office stakeholders and our engineering teams, you will ensure that business requirements are clearly articulated, technically robust and seamlessly translated into scalable data products.
Working closely with traders, sales teams, quants and data scientists, you will develop a deep understanding of their data needs and analytical workflows, transforming these into actionable specifications that guide design and delivery. You will oversee the end‑to‑end onboarding of new datasets into our cloud‑based lakehouse, to ensure compliant access, accurate metadata capture and an efficient onboarding experience.
You will assume ownership of our Alation data catalogue, elevating its structure, taxonomy and stewardship processes to create a trusted, intuitive and widely adopted data platform across the division. In parallel, you will advance Dataiku enablement by supporting onboarding, automation opportunities, low‑code analytics and best‑practice.
What You Offer
- Experience in data product, data management or business analysis roles, ideally in financial services.
- Strong ability to translate business requirements into clear technical specifications.
- Knowledge of data governance concepts, metadata management and data catalogues (Alation experience is beneficial).
- Familiarity with cloud platform and tools such as Dataiku.
- Knowledge of Financial Markets or Market Data is a plus.
- Excellent stakeholder management and communication skills, especially with front‑office users.
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.
Benefits
- 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 Technology
Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.
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 Product Owner, Manager in London employer: Macquarie Group
Macquarie is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to contribute ideas and drive impactful outcomes. With a strong focus on employee wellbeing, the company offers generous leave policies, comprehensive health benefits, and extensive learning opportunities, ensuring that team members can thrive both personally and professionally. Located in a dynamic financial services environment, Macquarie provides a unique opportunity to shape the future of data-driven decision-making within a supportive and innovative team.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner, Manager in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Macquarie Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Owner, Manager at Macquarie Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Macquarie Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Product Owner, Manager at Macquarie Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Product Owner, Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Macquarie Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Macquarie Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Macquarie Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Macquarie Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
