Quantitative Engineer
UBS
Quantitative Engineer
Hong Kong SAR
Quantitative Analysis
Investment Bank
Your role
Would 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:
• implement AI for multiple use cases in the IB for our Sales functions, from LLM chat to knowledge graphs
• innovate and solve for a large variety of different revenue-generating and productivity issues that occurs in the Global Markets Distribution business area within IB
• utilize the latest (and oldest) statistical, causal, ML and AI models to get results
• utilize your extensive coding background to remain hands-on and deliver projects on our modern Azure, big-data based data infrastructure
• understand 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.
• lead a small team of quants in Hong Kong; represent the IB Client Platform Quants team in the region to our clients and stakeholders; work in tandem with our global team
Job Reference #
328210BR
City
Hong Kong SAR
Job Type
Full Time
Your Career Comeback
We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
Your team
You’ll be working in the Client Platforms Quants team in Hong Kong, focusing on analytics and AI focussed deliveries for Distribution. With our mandate in Global Markets, we provide high quality data and the understanding and insights that can be gained from them. This benefits our internal stakeholders (Sales, Trading and Management) and external Clients through improved service provision. We are a hands-on team responsible for infrastructure, modelling, and development of a suite of apps.
Although we are part of a well-established bank, our team maintains a casual and collaborative atmosphere. We adhere to regular working hours while consistently achieving exceptional results through innovative and scientific approaches The team is fun with mixed experience.
Your expertise
• Degree in a computer science, data science or equivalent in a technical field with demonstrable financial computing relevance
• minimum 5 years of experience in a related role
• track record of leading projects and/or teams with a good command on architecture, cost, and scalability
• expert coding experience – history of hands-on development on python and/or java, big data engineering experience is a plus
• analytics experience is a plus – agentic ML, recommendation models, client analytics, statistics, classical ML, and interest in latest AI research
• experience in a Markets business, for example Equities or Credit trading or distribution is a plus
• cloud experience – we are on Azure managing an estate that is built on: kubernetes, azure-data-lake, airflow, spark, kafka, protobuf
• ability to identify and address key issues effectively and communicate the rationale behind proposed solutions to stakeholders.
• balance of analytical rigor and practical application
About us
Expert advice. Wealth management. Investment banking. Asset management. Retail banking in Switzerland. And all the support functions. That's what we do. And we do it for private and institutional clients as well as corporations around the world.
We are about 60,000 employees in all major financial centers, in more than 50 countries. Do you want to be one of us?
Join us
We're a truly global, collaborative and friendly group of people. Having a diverse, inclusive and respectful workplace is important to us. And we support your career development, internal mobility and work-life balance. If this sounds interesting, apply now.
Contact Details
UBS Business Solutions SA
UBS Recruiting
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.