QIS Quantitative Analyst

Do you have quantitative experience? Do you like to get involved in design, modelling, and delivery of systematic investment strategies? We are looking for someone like that to :

• Support the design, development, and implementation of quantitative models and analytics for the QIS business, spanning strategy research, pricing, risk, and lifecycle management
• Contribute to the modelling and prototyping of new QIS strategies, working alongside senior Quants and partnering with Trading, Structuring, and Sales
• Develop robust quantitative tools and workflows that help QIS Trading manage, analyse, and hedge risk
• Assist in the transformation of the QIS calculation stack, including migration towards a strategic, cloud-based architecture, in collaboration with IT and platform teams
• Support internal and external stakeholders
• including clients, third-party calculation agents, and internal platform teams
• helping ensure the robustness, transparency, and scalability of QIS analytics
• Build effective working relationships with Trading, Structuring, Sales, Quant, IT, and Risk partners in London and across regions QIS Quants deliver best-in-class quantitative solutions for clients and trading functions of UBS' Quantitative Investment Strategies (QIS) business, part of Global Markets. As a member of our team, you will contribute to the design, modelling, and delivery of systematic investment strategies, along with the analytics and tooling that support their full lifecycle from conception to production and client delivery. You will develop models, applications, and workflows within UBS' proprietary cloud-based quantitative analytics platform (ACQA), working closely with Trading, Structuring, Sales, Quant, and IT partners globally. This is a strong opportunity for an early-career quant to learn from experienced practitioners while making a measurable contribution to QIS strategy innovation, risk management, and scalable production.
• You’re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment
• validating outputs and aligning with policies, risk standards, and ethical use
• 0–3 years of relevant experience in QIS, systematic trading, quantitative research, structuring, or a front-office/quant role within Global Markets; strong recent graduates and PhD candidates are encouraged to apply
• Proficiency in Python for developing quantitative models, analytics, and applications
• Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques
• Strong analytical and problem-solving skills, with a willingness to learn and operate in a fast-paced front-office environment
• Good communication skills and the ability to collaborate effectively within a team
• Academic background in Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline Preferred
• Prior internship, placement, or project experience in QIS, systematic strategies, or quantitative finance
• Exposure to large-scale data and analytics pipelines; familiarity with KDB/Q or equivalent technologies is a plus
• Knowledge of AI/ML techniques, with any experience applying such models a plus *LI-GB UBS 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 .

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