Quantitative Engineer

Your roleWould you like to apply your diverse technical and people skills to help lead the way through UBS' AI transition? Do you enjoy solving a variety of challenges in the world of Big data and data science? We're looking for someone to:Help team build the future of Client and Content ecosystem within IB Global MarketsImplement AI for multiple use cases in the IB for our Sales functions, from LLM chat to knowledge graphsInnovate and solve for a large variety of different revenue-generating and productivity issues that occurs in the Global Markets Distribution business area within IBUtilize the latest (and oldest) statistical, causal, ML and AI models to get resultsUtilize your extensive coding background to remain hands-on and deliver projects on our modern Azure, big-data based data infrastructureUnderstand the insights and needs of our stakeholders and clients within the IB business so as to be able to collaborate effectively with our product experts to drive meaningful impact.Represent the IB Client Platform Quants team in the region to our clients and stakeholders; work in tandem with our global teamDetailed salary information:* New York: the salary range for this role is $225000 to $242500The expected salary range(s) for this role as of the date of this posting is/are based on factors including, but not limited to, experience, qualifications, education, location and skill level. This role may also be eligible for discretionary incentive compensation. For benefits information, please visit ubs.com/usbenefits.Join usAt UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.Your expertiseDegree in a computer science, data science or equivalent in a technical field with demonstrable financial computing relevanceIdeally 5+ years of experience in a related roleTrack record of leading projects and/or teams with a good command on architecture, cost, and scalabilityExpert coding experience - history of hands-on development on python and/or java, big data engineering experience is a plusAnalytics experience is a plus - agentic ML, recommendation models, client analytics, statistics, classical ML, and interest in latest AI researchExperience in a Markets business, for example Equities or Credit trading or distribution is a plusCloud experience - we are on Azure managing an estate that is built on: kubernetes, azure-data-lake, airflow, spark, kafka, protobufAbility to identify and address key issues effectively and communicate the rationale behind proposed solutions to stakeholders.Balance of analytical rigor and practical applicationAbout usUBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.