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eRisk Quant Analyst – Global Market Front Office
3 months ago
Some careers have more impact than others.
If you’re looking for a career where you can make a real impression, join HSBC, and discover how valued you’ll be.
HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.
We are currently seeking an experienced professional to join our team in the role of of eRisk Quant Analyst – Global Market Front Office
Principal responsibilities
Quantitative support in the development of Analytics & Business Intelligence for Global eFX using tick by tick data. Maintain process related to testing of analytics & accuracy of the data used. Quantitative Research in Curve Creation, Pricing & Risk Management of STIRS & EM Rates Products Quantitative Dev support in platform specific improvement and maintenance. Python & KDB. We are being part of eRisk have also been collaborating with the GFX Voice business in order to deliver various Quantitative Analytics & Business Intelligence reports to trading & top level management within GFX Business. We are looking forward to expand our work and capabilities towards EM Rates Business. We as a team are diversified with variety of skills and knowledge, and we are looking forward for an individual passionate about Data Mining, Data Analytics and Business Intelligence using Python & KDB, making user friendly dashboards etc. We as a team offer immense opportunity for learning in areas specific to Quant Research, Electronic Trading (Pricing, Execution & Risk Management), Python & Q/KDB, application of machine learning etc Quantitative Research and Quantitative Analytics Quantitative Development & Enhancements of Python Platform, and Business Intelligence Reporting & MI. Requirements Ideally Bachelors/Masters/PhD in Engineering / Data Science. Knowledge of statistical learning and data-mining techniques. Exposure to Machine Learning concepts and its application on Time Series data. Desired knowledge of script programming languages (Python) Desired knowledge of database query languages (Q/KDB, SQL) Aptitude to learn business and new languages, if desired by the role Desired knowledge and understanding of technology related to an electronic trading business. Exposure to Web Development using Python Desired knowledge and understanding of FX and Fixed income products.