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Core Quant Dev Analytics - C++ - VP/ED level

Anson McCade
Londres, Royaume-Uni
Mise en ligne il y a 3 jours Hybride CDI perfomance based bonus
Great opportunity to join a very strong cross asset core analytics team with a tier 1 bank.

Core Quant Dev Analytics - C++ - VP/ED level

London based

Our client spends more than $9 billion a year to be at the forefront of technological innovation. Leveraging petascale compute clusters, they develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to high- and low-frequency trading algorithms.

They are looking for a new member to join a core Quant team focusing specifically on high performance computing.

Responsibilities:

  • Developing in a C++/CUDA/Python software library that prices derivatives and calculates risks;
  • Focus is on efficient algorithms, vectorization and parallelization, compilers, architecture of cross-asset pricing engines, core library frameworks and continuous integration infrastructure;
  • Optimization of the code for specific hardware, from today's production staples to future disruptive innovations;
  • Support of end users of the library and communicating with desk-aligned quant teams and technology groups.

Requirements:

  • A postgraduate degree (preferably PhD), or equivalent, in a quantitative field, e.g. computer science, mathematics, engineering, physics, or finance;
  • Excellent software and algorithm design and development skills, particularly in C++
  • Outstanding problem solving skills;
  • Basic understanding of numerical methods, probability and foundations of quantitative finance to ensure that detailed model knowledge can be picked up if required.

Preferred:

  • Experience in parallel programming, e.g. TBB, OpenMP, CUDA or OpenCL;
  • Python, Java, Perl and web programming skills;
  • Previous work experience as a software developer or a quant.
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Référence  AMC/JME/CA123
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