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Liquidnet
,
London, Greater London
Data Scientist / Quant Dev | Graduate Role
Overview
Job Description
With the acquisition of OTAS Technologies in 2017 and our continued global evolution, Liquidnet is expanding its technology and quant team to build disruptive new products to further revolutionize trading and investing. Our products are used by the largest investment firms globally, and we are recognised as an industry-leading innovator in big data analytics, AI and machine learning. We are a dynamic, technology-driven, and highly productive team of quants, developers and product designers. Deep collaboration with our clients and partners is key, and we benefit from great relationships with the most ground-breaking firms in the asset management industry, who help us to constantly push the limits of technology and analytics. With a proven track record of hiring amazing people and giving them (industry veterans and recent grads alike) autonomy and responsibility from the start, you'll have the best tools and resources available to get the job done, and thrive in a collaborative environment where our teams are passionate about building great things. The right candidate is a hybrid at core and will have both a strong mathematical background, and be highly adept technologically. What you'll tackle: * Analyse unique proprietary datasets. * Create, evaluate, and enhance mathematical models and streaming analytics pipelines. * Write clean production code to integrate those models into our client facing products. * Partner globally with other data scientists, quants, developers, product designers, clients and industry leaders to deliver creative solutions to the important problems faced by the world's largest asset managers. Who you are: * A recent or soon to be grad with a Bachelor's degree in Computer Science, Mathematics or related technical focus, with the ability to start FT employment by July 2019. * You have strong, relevant internship experience. * Are proficient in a mainstream programming language, such as Python, C/C++, C#, Java, JavaScript, Haskell or similar. * Possess a solid foundation in a STEM/numeric discipline. * Are familiar with software development practices such as version control (git), test frameworks, code review tools, deployment configuration management, and continuous integration. * Experience with machine learning libraries/frameworks and methods. * Excellent communication skills and team orientation.