Jane Street works differently. As a liquidity provider and market maker, we trade on more than 200 trading venues across 45 countries and help form the backbone of global markets. Our approach is rooted in technology and rigorous quantitative analysis, but our success is driven by our people. Our bright, beautiful offices in the heart of New York, London, Hong Kong, and Amsterdam are open and buzzing with conversation. We come from many backgrounds and encourage travel between offices to share perspectives. Some of our best ideas come from bumping into a visiting colleague at the office coffee bar. Markets move fast. Staying competitive as we've grown has required constant invention—of new trading strategies, technology, and processes. We've found this is easier when you hire humble, kind people. They tend to help each other, and prioritize teamwork over titles. We invest heavily in teaching and training. There's a library and a classroom in every office, because deepening your understanding of something is considered real work. Guest lectures, classes, and conferences round out the intellectual exchanges that happen every day. People grow into long careers at Jane Street because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we're just getting started. People grow into long careers at Jane Street because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we're just getting started. People grow into long careers at Jane Street because there are always new and interesting problems to solve, systems to build, and theories to test. More than twenty years after our founding, it still feels like we're just getting started.

28/05/2022
Full time
Jane Street London, UK
Job details Job type Full-time Full Job Description About the Position We are looking for a Senior Machine Learning Engineer/Scientist to help lead the effort to expand and improve our ML infrastructure and data pipeline. You will collaborate with teams of Researchers and Traders in our offices around the world to design and train ML models, and invent new techniques when necessary to deal with the specific problems we work on. About You 3+ years of experience building ML infrastructure and production models in an industrial setting Very strong coding skills, including experience developing and deploying large software projects Deep experience with applying one or more major ML packages (e.g., TensorFlow, PyTorch, JAX) to very large data sets A desire to push the boundaries of ML to better deal with the problems specific to financial data, including low signal-to-noise ratios and non-stationarity No finance background is necessary...