About

Compensation: £Competitive (Financial Services)About TradingHubFounded in 2010, we have grown from a united vision shared between two people to a team of over 140 across London, Toronto, New York and Singapore. We have achieved scale by building the best-in-class surveillance tooling, where our analytics bring the front office risk mindset to the compliance function. Though we have developed in the trade surveillance arena, we have always been more than that. At heart, we are a finance-focused big data firm. Our goal is to continue creating the world's leading financial markets analytics platform. The RoleWe are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you'll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting. Responsibilities: Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offeringsResearch and development of broad models of market dynamics across multiple asset classesPrototyping, testing, and validation of TradingHub's proprietary mathematical/statistical modelsUse of in-house big data language for the large-scale pricing and analysis of security and risk dataImplementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data RequirementsMain Skills/Competencies: Proficiency with C#, C++ or PythonEvidence of exceptional mathematical and analytical s