• Competitive
  • London, England, Großbritannien
  • Festanstellung, Vollzeit
  • Macquarie Group
  • 21 Mär 19

Data Engineer / Data Quant

Data Engineer / Data Quant

Our Quant Strategy team applies specialist methods from mathematics, science and engineering to generate revenue. We work on derivative valuation and risk, automated trading and execution, and data-driven decision-making.

The successful candidate will focus on developing new business capabilities working with high frequency data (tick data). You will leverage your business knowledge, market data expertise together and robust engineering skills to help lead the design and implementation of significant new capabilities using cutting edge systems.

You will have a very strong academic background, experience working with a trading business, market data expertise and strong engineering skills; experience of KDB / Q would be helpful, as would experience using the Python ecosystem.

If you are looking for an outstanding opportunity to be a part of a global team, that is closely aligned with revenue generation, then please apply now!

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 careers at www.macquarie.com/careers

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're capable, motivated and can deliver, we want you on our team.

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

Advertised: 29 Jan 2019 GMT Standard Time
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