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BNY Mellon

Manchester, United Kingdom

S&P Global

Singapore, Singapore

State Street Corporation

London, United Kingdom

Deutsche Bank

London, United Kingdom

State Street Corporation

Sydney, New South Wales, Australia

S&P Global

London, United Kingdom

Deutsche Bank

Berlin, Germany

Deutsche Bank

London, United Kingdom

Deloitte

Brisbane, Queensland, Australia

PIMCO

London, United Kingdom

Deloitte

Perth, Western Australia, Australia

Morgan Stanley

London, United Kingdom

Bank Of China (Hong Kong) Limited

Hong Kong,

Deutsche Bank

Berlin, Germany

Deloitte

Perth, Western Australia, Australia

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Quantitative Risk Technology
We're engaged with a ~5b AUM multi strategy hedge fund on an innovative risk specialist role. Our client has over 300 employees worldwide spread across their offices and are based in the US. The fund has recently expanded strategies and widely expanded the scope of their investment activities. From a product perspective, they are in Fixed Income/Macro, Quant, Volatility, and Fundamental Equity strategies. They are looking for a Quantitative Risk Specialist that has a combination of skills in data science and modeling. This hire is expected to optimize code and restructure data sets to improve performance. Strong Python, R, and SQL skills are needed. Requirements: Optimize code and improve performance/efficiency. Refine and design


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