Hire remote Mathematics Experts near London or in a similar time zone
Colan Walsh
Colan is an experienced senior financial quantitative developer and researcher with experience across various asset classes and trading venues. He has a multidisciplinary background, having worked in quant development, quant research, and derivatives trading for multiple investment banks and hedge funds. Colan has built and managed teams of quant researchers from the ground up on numerous occasions.
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Daniel Coderre
Daniel is an experienced data professional with a decade of experience in building analytical systems. He is happiest working on the full stack, from engineering storage systems and processing pipelines to data analysis, presentation, and building front-end dashboards. For the past several years, Daniel has been heavily into machine learning (ML) and has applied it to create value from real-world data. He has a PhD in experimental physics, so ML is not the only tool in his toolbox.
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Andrei Statescu
Andrei is a senior software developer and ex-Microsoft engineer with 10+ years of experience developing web, desktop, mobile, and blockchain apps using Ruby, C#, and JavaScript. His products brought $100+ million in total revenue and are used by dozens of millions of users to this day. Being a startup founder himself, Andrei knows exactly what brands need to succeed and how to bridge the gap between business and technology. He is here to help companies grow using the right software and tools.
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Vedat Ekiz
Vedat is a full-stack developer with 10+ years of experience focusing mainly on back-end development using Java technologies. He also has front-end experience with Angular, JavaServer Faces, and Vaadin. In roles ranging from junior to lead developer in Turkish companies, Vedat has developed solutions for large insurers (AgeSA and ERGO), telecoms (Turkcell and Nortel NetaÅŸ), Siemens, and major supermarkets.
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Yağız Münger
Yağız is a prominent software engineer who has been involved in multiple projects targeting full-stack web development, machine and deep learning–computer vision and NLP specifically– and DevOps more recently. With such a comprehensive background, Yağız is always up for a challenge and loves solving problems as efficiently as possible. Even though he prefers using Python, Yağız continuously strives to find the best available tool for the given task.
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Oliver Holloway
Oliver is a versatile data scientist and software engineer combining over a decade of experience and a postgraduate mathematics degree from Oxford. Career assignments have ranged from building machine learning solutions for startups to leading project teams and handling vast amounts of data at Goldman Sachs. With this background, he is adept at picking up new skills quickly to deliver robust solutions to the most demanding of businesses.
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Gonzalo Hirsch
Gonzalo is an efficient and reliable full-stack developer who has worked with multiple tech stacks, such as AWS, to engineer the best solutions. In addition to winning innovation contests, Gonzalo is passionate about taking on projects that impact the world, being inspired by and inspiring others, and taking on new challenges. He has participated in many Java-based projects where he designed and implemented systems architecture, such as a digital payments API using AWS.
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Alexandr Proskurin
Alexandr is an AI developer and entrepreneur who co-founded two companies. He specializes in financial machine learning techniques applied in investment management and algorithmic trading research. His expertise includes researching and implementing long-only and intraday long/short and statistical arbitrage algorithms using supervised and unsupervised algorithms. Alexandr developed MlFinLab, a Python package for financial machine learning research used by portfolio managers and traders.
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Sergei Markochev
Sergei is a lead data science and AI/ML developer with extensive experience—over 15 years' worth. He has led end-to-end project delivery and provided technical expertise for complex decision problems for FTSE 100 companies and SME businesses. Sergei possesses a PhD in Physics, has one patent and six academic papers, and recently won 1st place in an international data science competition.
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Eugene Balkind
Eugene is a skilled data scientist with a strong academic and industrial background in time series analysis, LLMs, and other ML technologies. Eugene has created classification models that predict positive or negative outcomes of COVID-19 tests and models that determine whether a company is a good acquisition. He has also built data hubs, completed cross-validation testing, and adjusted and improved models to adapt to quickly changing requirements. He is also proficient in OpenAI API.
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Janos Lenart
Janos is an ex-Googler who builds, fixes, and teaches various technologies. He specializes in Linux, clusters (especially Kubernetes), cloud technologies, distributed systems, big data, including database design and clustering, programming in C/C++ and Go.
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