Job Reference # BRCityLondon, New YorkJob TypeFull Time Key responsibilitiesAre you passionate about quantitative finance, systematic investment strategies, and applying AI to solve real Front Office business challenges? We're looking for a Quantitative Analyst to join the IB Quants team in ACQA supporting the Quantitative Investment Strategies (QIS) business. Working at the intersection of quantitative analytics, software engineering, and AI, you will partner closely with QIS Trading, Structuring, Sales, and Technology teams to develop next-generation analytics, automation, and AI-enabled solutions supporting the full lifecycle of QIS products and strategies. You will contribute to the design and delivery of quantitative strategy analytics, hedge and risk management tools, and intelligent workflow solutions that help accelerate innovation, improve scalability, and enhance the efficiency of the QIS business. This role offers the opportunity to apply modern quantitative methods and AI technologies in production environments while gaining deep exposure to systematic investment strategies and tooling & business workflows of the QIS business. Your responsibilities Design, develop, and support quantitative analytics, applications, and automation solutions supporting the QIS business. Partner directly with QIS business to understand business requirements and rapidly deliver impactful solutions. Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques. Develop tools supporting QIS strategy management, monitoring, and hedging activities. Contribute to the automation and industrialisation of QIS strategy workflows, calculations, controls, and operational processes. Collaborate closely with peer Quant, Trading, Structuring, Sales, Risk, and Technology teams globally throughout the full development lifecycle.Your Career ComebackWe are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.The teamYou will join the ACQA Quants team supporting the Quantitative Investment Strategies (QIS) business within Global Markets. The team delivers quantitative analytics, tooling, and automation solutions supporting the design, pricing, risk management, hedging, and lifecycle management of QIS products. You will work within the ACQA quantitative analytics ecosystem and collaborate closely with the wider QIS Platform, Strategy Quant, Quant Core Platform, and Valuation Model teams globally. In addition, you will partner directly with Front Office stakeholders to design and deliver strategic analytics, automation, and AI-enabled solutions that create measurable business impact. This role provides a unique opportunity to work at the intersection of quantitative finance, software engineering, and AI while gaining deep exposure to systematic investment strategies and quantitative products across asset classes.Your skills and experienceMust-have skills & experience Education & Professional Experience 5+ years of experience in a quantitative analyst, quantitative developer, AI engineering, machine learning, systematic trading, or front-office analytics role. Bachelor's, Master's, or PhD degree in Mathematics, Physics, Engineering, Computer Science, Statistics, Financial Engineering, or a related quantitative discipline. Proven experience delivering production-grade analytics, automation, or AI-enabled solutions. Experience working directly with business stakeholders to translate requirements into scalable technical solutions. Quantitative Finance & Business Knowledge Understanding of quantitative finance, derivatives, systematic investment strategies, risk management, or Front Office trading workflows. Strong analytical and problem-solving skills with the ability to develop practical solutions to complex business challenges. Strong communication and stakeholder management skills. Interest in quantitative investment products and strategy lifecycle management. Software Engineering Strong Python development skills with experience building production-quality applications. Strong understanding of software engineering principles, including data structures, algorithms, software design, API development, testing, and version control. Experience developing scalable analytics, automation, or data-driven applications. AI & Intelligent Automation Experience designing, building, or deploying AI-enabled applications, analytics platforms, or workflow automation solutions. Practical experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI architectures, multi-agent systems, or semantic search and knowledge retrieval systems. Experience using AI frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, Microsoft Copilot Studio, OpenAI Agents SDK, or similar enterprise AI frameworks. Experience building or integrating Model Context Protocol (MCP) servers, tools, or workflows that connect AI applications with enterprise systems and business processes. Nice-to-have skills QIS & Front Office Experience Experience supporting Quantitative Investment Strategies (QIS), systematic investment products, index businesses, structured solutions, or systematic trading platforms. Experience developing trader-facing analytics, pricing, risk management, hedging, or workflow automation solutions. Experience within Equity Derivatives, Rates, FX, Electronic Trading, or Multi-Asset businesses. Additional Technology Experience Proficiency in C++, Java, or C#. Experience with KDB+/q, Kafka, Kubernetes, Docker, cloud platforms (Azure, AWS, or GCP), vector databases, or distributed computing technologies. Advanced AI & Data Experience Experience deploying machine learning models in production environments. Experience building agentic workflows, MCP-based integrations, enterprise AI applications, or intelligent automation platforms at scale. Additional Differentiators Understanding of quantitative research, index methodologies, systematic strategies, electronic trading, or market microstructure. Demonstrated ability to rapidly learn new business domains and deliver high-quality solutions in a fast-paced Front Office environment. What will make you stand out Track record of developing and delivering production-grade agentic applications, MCP-enabled integrations, or enterprise AI platforms. Proven experience delivering analytics, automation, or AI-enabled solutions within a QIS, systematic trading, derivatives, or Front Office environment. Experience supporting quantitative strategy development, lifecycle management, pricing, risk management, or hedging processes. Stro• 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 standard and ethical use.About usUBS is a leading and truly global wealth manager and the leading universal
IB Quants – Quantitative Analyst (QIS AI & Automation) in Kennington employer: UBS
UBS is an exceptional employer, offering a dynamic work environment in London where collaboration and innovation thrive. As a CCP Risk Manager, you'll benefit from a culture that prioritises employee growth, providing opportunities to tackle complex challenges while utilising cutting-edge AI technologies. With a commitment to inclusivity and flexible working options, UBS ensures that every team member can contribute meaningfully to our collective success.
