QIS Quantitative Analyst

UBS; Greater London; On-site; GBP 50,000 - 80,000; Full time

Job summary

UBS is seeking an early-career quant to join the QIS Quants team in London. You will contribute to the design, modelling, and delivery of systematic investment strategies, building models, applications, and workflows on UBS's cloud-based analytics platform.

The role offers exposure to trading, structuring, sales, IT, and risk partners across regions, with mentors and opportunities to grow in a fast-paced front-office environment.

Qualifications

• 0–3 years of relevant experience in QIS, systematic trading, quantitative research, structuring, or a front-office/quant role in Global Markets.
• Strong Python skills for developing quantitative models, analytics, and applications.
• Solid grounding in financial mathematics, time series analysis, and quantitative modelling techniques.
• Academic background in Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline.
• Good communication skills and ability to collaborate within a team.

Responsibilities

• 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.

Skills

Python

Financial mathematics

Time series analysis

Quantitative modelling

AI/ML basics

Team collaboration

Education

Mathematics/Physics/Engineering/CS degree

Tools

KDB+/Q

ACQA

Job description

Key Responsibilities

Do you have quantitative experience? Do you like to get involved in design, modelling, and delivery of systematic investment strategies?

Job Type

Full Time

Job Reference #

341950BR

City

London

Key Responsibilities

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

The team

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.

Your Skills And Experience

• 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

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.

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.