Quants at the forefront of AI-enabled finance

Working at the intersection of markets, data and technology, our Quant teams are using AI to accelerate insight, scale innovation and deliver stronger outcomes for clients. Let’s hear what they have to say.

What does cutting‑edge machine learning look like on a trading floor? Giuseppe’s work focuses on applying reinforcement learning and deep neural networks to real‑world execution challenges.

At UBS, collaboration is central to how Quant teams operate. They work closely with trading, wealth management and research to tackle complex problems together. For Giuseppe, this cross-disciplinary approach helps teams learn faster, build stronger solutions and deliver meaningful impact.

AI's transformational impact is now a reality, bringing together different types of expertise across the industry. From applying large language models to turn unstructured information into actionable insights, to using advanced machine learning techniques to solve finance-specific challenges, quant professionals are helping shape the next generation of innovation.

Based in our New York City office, she leads the development of quantitative models that sit at the core of our Credit and Securitized Products businesses, powering everything from client pricing and trading, to risk management and regulatory capital. These models combine deep financial expertise with advanced technology to deliver consistent, transparent outcomes for clients, while enabling the firm to manage complex risks responsibly at scale.

Since joining UBS, Yuan has helped integrate and scale quantitative platforms across the firm. Working closely with trading, structuring and risk teams, she supports new product development, manages complex risk profiles and enables sustainable growth across Global Markets, while continuing to incorporate the latest advances in AI.

For Yuan, being a Quant is not just about technical excellence. It is about connecting disciplines, designing solutions for bespoke client transactions, and turning advanced analysis into practical outcomes by bringing finance and technology closer together.

Ciprian is leading a team that powers innovation across the firm. Working in Quant isn’t just about crunching numbers. It’s about solving complex problems that matter to clients, staying ahead of trends, and building a stronger, more innovative team. His role spans a globally connected network of quant professionals across the Americas, EMEA and APAC, enabling the exchange of expertise and the delivery of solutions with global reach.

His team is delivering innovative solutions across a range of areas, from real-time volatility platforms and advanced modelling for complex products to AI-powered tools that support fast quoting and custom payoff scripting. The result is faster, smarter support that helps clients navigate complexity with confidence.

Every project is designed with one goal in mind: helping clients navigate complexity and achieve results, translating advanced modeling and AI into real, measurable outcomes.