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Commodities and Global Markets EMEA - Business Analytics & Data Team, UK

London

You will join Macquarie’s Commodities and Global Markets Group in London and become a part of the Business Analytics and Data Automation team. This is an exciting and challenging role wherein you will report to a global stakeholder and customer base spread across the entirety of the CGM businesses

In this position, you will work in a small global team on various business initiatives to support controls, reporting, and analytical tools across the business. As a member of the team, you will be required to collaborate effectively with a global team of traders, market analysts, business analysts, and operations support staff to understand and gather requirements. Then, leverage existing tools and/or develop new solutions to build on these requirements and deliver actionable analysis with timely alerts and visualizations

Part of the role will also be in helping to identify solutions to replace legacy technologies. This role will give you an opportunity to work independently on technical solutions to business problems as they arise and you will be expected to design, build, document and maintain efficient, reusable, and reliable workflows and solutions. Key stakeholders range from traders to Senior management across the whole business.

Initially the role will be focused in supporting our Resources / Energy Trading business and analytics platform. After time, this person would be expected to help broaden the scope of adoption of best practice analytical tools across more of our commodity trading businesses.

To be successful in this role, you would ideally have the following technical knowledge and experience:

  • Minimum Bachelor's degree qualification in a quantitative and problem-solving discipline with strong academic performance
  • 3+ years of experience working in a commodity related business
  • Familiarity with a commodity trading environment and associated language and terminology.      
  • Preferred experience will be with the following tools we use on the job:
    • Data analysis tools: MS SQL, Hive, Dataiku, Alteryx
    • Programming languages: Python, T-SQL, C#.NET
    • Data visualisation: Spotfire, Tableau, Power BI
  • Solid analytical, problem-solving background, working with transactional level data & large datasets
  • Experience with scheduling, data automation and experience using source control
  • English is the main language within the company therefore proficiency in written and spoken English is a must

If you are interested in this exciting opportunity, please apply today.

Commodities and Global Markets provides clients with an integrated, end-to-end offering across global markets including equities, fixed income, foreign exchange, and commodities.

Find out more about Macquarie at www.macquarie.com/about

Macquarie understands the importance of diversity and inclusion - our long history of success has come from being different. At Macquarie we value the innovation and creativity that diversity of thought brings. The one thing we all have in common is our focus on high performance. If you are capable, motivated and can deliver, we want you on our team.

About Commodities and Global Markets

Commodities and Global Markets provides clients with an integrated, end-to-end offering across global markets including equities, fixed income, foreign exchange and commodities.

Our commitment to Diversity, Equity and Inclusion 

The diversity of our people is one of our greatest strengths. An inclusive and equitable workplace enables us to embrace that diversity to deliver more innovative and sustainable solutions for our people, clients, shareholders and communities. At Macquarie, you'll be encouraged to be yourself and supported to perform at your best. If you're inspired to deliver on our purpose of ‘empowering people to innovate and invest for a better future’, we want you on our team. If you need adjustments made to the recruitment process, please reach out to your recruiter.

As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including colour and ethnic or national origins), religion or belief.

Joining Macquarie means you’ll be able to work in a way that suits you best. With the right technology, support and resources, our people can work in a range of flexible ways. Talk to us about what working arrangements would help you thrive.

About Macquarie

A career at Macquarie means you’ll have the opportunity to develop and utilise new skills, explore interesting fields and do challenging work that will impact the lives of people around the world—whether it’s accelerating the green energy transition, helping sustain global food supplies, financing social housing projects or investing in essential infrastructure. At Macquarie, we’re empowering people to innovate and invest for a better future.

Our size and international presence means your work can take you anywhere—across business groups, disciplines, sectors and borders. With 18,000+ employees and offices in 33 markets around the world, we’re a truly global organisation.

You’ll be supported by a diverse team where the unique perspectives, ideas and experiences that all of our people bring are valued. You’ll be empowered to address unmet needs in our communities whilst advising and investing alongside our clients and partners. Working with us, you’ll have the opportunity to make a difference.

Macquarie is a global financial group providing clients with asset management, retail and business banking, wealth management, leasing and asset financing, market access, commodity trading, renewables development, specialist advisory, capital raising and principal investment.

Find out more at www.macquarie.com/careers

Job no: CGM-965717
Work type: Permanent - Full time
Location: London
Category: Mid-senior, Mid-level, Data & Analytics
Group: Commodities and Global Markets
Division: Commodity Markets and Finance
Recruiter: Arif Khan
Opening Date: