QIS Quant Analyst: Modelling, Analytics & Production

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

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.