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This is a unique opportunity to join Our Quantitative Analytics Research group, where a motivated self-starter will learn financial data, statistical analysis and hone their software development and problem-solving skills. In this fast-paced, high pressure environment the selected candidate will work with a diverse and academically advanced team of researchers on developing and maintaining statistical models of financial products. In addition, the person will help migrating Quantitative Analytics' legacy infrastructure to our standard technology platform.
Understand functional requirements and provide technical solutions to meet the needs of the research team in building the next generation scientific computing tools and products for efficient trading in equities, futures, fixed income and FX
Assist in the evaluation, analysis and adopting of multi-asset market data
Develop new as well as support and extend existing code and processes for financial analytic models
Become a subject expert in various types of data and data management platforms for financial markets
EDUCATIONAL AND PROFESSIONAL REQUIREMENTS:
Master's degree in Mathematics, Computer Science, Physics or related disciplines
Hands on experience in software development in Unix/Linux environment
Strong experience programming in C++, specific experience with Boost Libraries is a plus
Experience with SQL databases, KDB is a plus
Working knowledge of Python (including pandas, numpy, etc.)
Desire, willingness and ability to learn, understand and interpret financial data and concepts is required
Proven record of attention to detail and willingness to go beyond expectations
Interest in improving the domain knowledge in financial markets and applying it to create actionable solutions
After passing an application screening, candidates will be sent an online programming test via email from a service called Codility as a first step of the process. Thanks for your interest!
Sthree US is acting as an Employment Agency in relation to this vacancy.
Internal Number: 6387889
About Huxley Banking & Financial Services
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