3 statistics jobs found in Zürich

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We are seeking a highly skilled professional to join our team, focusing on advancing through   innovative AI solutions. The successful candidate will   develop and refine Large Language Models (LLMs)   to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate...

Do you love working with large datasets? Are you a team player who enjoys sharing your knowledge and learning new things? Are you interested in fraud prevention and credit risk? Would you like to use structured thinking and creative ideas to further develop our models and applications? Then we are looking for you to join our Risk Analytics Team immediately or by arrangement, based in Zurich. Tasks You will develop and implement machine learning models in the areas of credit risk and fraud prevention. You advise and support the specialist departments through reports, analyses and models. You contribute your expertise and analytical thinking skills to interdisciplinary working groups and projects. You will participate in the further development of the in-house analytics tools and the expansion of the tech stack. Profile Completed university degree with a quantitative focus at least one year of professional experience Excellent...

About the Role Riverkin is a VC-backed Swiss startup looking for a star hydrologist to join the team. Flash floods threaten thousands of people and cause millions in damage each year but trustworthy alerts are not possible to come by. This is a real, under-served problem where today's forecasts break down, leaving first responders and municipalities exposed. What You'll Do Build the first flash flood ML model Define and build the first version of the flash flood ML model, using sensor data we deploy ourselves and public data sources. You implement models, manage big data sets and monitor performance. You work with software engineer(s) to embed models into a scalable piece of software. You are the architect and choose the models, the sensors, and the architecture as we go. Translate Business and Customer Needs into a Technical Roadmap You'll partner directly with the founders to pull detailed needs out of clients and find the sweet spot between...