Hong Kong SAR

Investment Banking

Investment Bank

Your role

Are you interested in algorithmic trading, market microstructure, and execution strategy research? Do you enjoy using data and quantitative analysis to improve trading outcomes? We're looking for someone who can:
• Contribute to the research, development, and enhancement of agency execution algorithms and execution intelligence for the equities business.
• Conduct quantitative analysis of execution performance across different market conditions, identifying opportunities to improve algorithm behaviour and client outcomes.
• Research market microstructure, order book dynamics, and trading behaviour to develop insights that support algorithm design and strategy evolution.
• Analyse large-scale trading and market data sets to uncover patterns, evaluate execution quality, and generate actionable recommendations.
• Collaborate with regional and global stakeholders across Trading, Product, and Technology to translate research findings into practical enhancements, platform development and execution strategy.
• Investigate client trading behaviour and execution characteristics to identify opportunities for improved performance, segmentation, and customization.
• Support the evaluation of existing and new execution methodologies, benchmarks, and trading logic across a range of market environments.
• Contribute to quantitative studies supporting algorithm enhancements and platform improvements, including:
o Assessing the impact of proposed changes on execution behaviour and performance.
o Providing data-driven input into design decisions and prioritization.
o Developing analytical frameworks to monitor and evaluate outcomes after implementation.
• Assist with client and internal research requests, helping provide evidence-based analysis and insight into algorithm performance and market behaviour.

Job Reference #

341296BR

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 within the Algorithms and Analytics team in Agency Algorithmic Trading. The team provides execution algorithms, quantitative analysis, and execution consultancy for electronic trading across equities and other products globally.
The team is responsible for:
• Developing and improving execution algorithms and associated models.
• Researching market microstructure, liquidity dynamics, and trading behaviour.
• Building analytical frameworks to assess execution quality and algorithm performance.
• Supporting data-driven decision making across product, trading, and technology teams.
• Acting as a bridge between quantitative research and practical execution strategy.
In this role, you'll work closely with experienced researchers, traders, and product specialists, gaining exposure to both strategic initiatives and day-to-day execution challenges.

Your expertise

You have:
• An advanced degree (Master's or PhD) in a quantitative discipline such as mathematics, physics, computer science, engineering, statistics, or a related field.
• 3+ Years experience in algorithmic trading, quantitative research, market microstructure, or execution analytics.
• Strong analytical and problem-solving skills, with the ability to structure complex questions and derive meaningful insights from data.
• Experience working with large data sets and applying statistical techniques to real-world problems.
• An interest in electronic trading, execution strategy, and market structure.
You are:
• Curious and research-oriented, with a desire to understand the drivers of execution performance.
• Comfortable communicating quantitative findings to both technical and non-technical audiences.
• Proficient in Python and data analysis libraries; experience with Java or C++ is beneficial.
• Able to balance rigorous analysis with practical business and client considerations.
• Self-motivated and capable of managing multiple projects in a collaborative environment.
Nice to have:
• Familiarity with KDB/q or similar time-series data environments.
• Exposure to machine learning, optimization, or simulation techniques applied to trading problems.
• Previous exposure to client-facing analytics, execution consulting, or performance analysis in APAC Cash Equities agency execution.

About us

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.

Join us

At 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.

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.