Interested to engage with top quantitative finance experts to turn their investment ideas into reality? Keen in getting exposure to the latest technology and coolest programming packages?
Want to play a part in shaping a product with great revenue potential?
We work closely with Bloomberg clients to implement quantitative investment strategies and research using our new Python Quant development platform - BQuant.
Powered by Jupyter, our quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them to capture alpha in a highly competitive landscape.
What’s the role?
You will use your market knowledge to consult our current or prospective clients, helping them develop and implement their quantitative investment strategies and research on BQuant.
With access to the world's most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models.
Your role will involve full life-cycle development, from initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and adoption.
You will take on training to improve your expertise in data science, quantitative investment strategies and capital markets, gaining a deep understanding of quantitative strategies and investment knowledge across equities, fixed income, FX and commodities as well as learning open source Python technologies for advanced data visualizations, widgets and analytics.
We’ll trust you to :
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