Location
London
Hours
Full Time
About the Role
Nomura is a global financial services group with a presence in approximately 30 countries and regions, connecting markets East and West. The Global Markets department provides liquidity, market insights, and execution services across multiple asset classes including equities, fixed income, currencies, and commodities. The team leverages innovation and technology to deliver cutting-edge trading platforms and customized solutions.
We are seeking an Associate to join the Global Markets Equities team, focusing on the newly launched Central Risk book. This role involves risk monitoring and management, quantitative modelling related to risk optimization, flow profitability profiling, and optimal execution. The successful candidate will develop a strong understanding of corporate finance principles, valuation, capital structure, financial modelling, and quantitative analysis.
This position offers the opportunity to work in a dynamic environment with a global reach and a commitment to innovation, supporting Nomura’s continued growth and success in the financial industry.
Experience
- Experience in cash equities trading and risk management
- Familiarity with factor modelling and risk optimization
- Strong quantitative skills with attention to detail and critical thinking
- Strong programming skills, ideally in Python, with familiarity in KDB/q
About you
- Holds an MBA or MS in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, Machine Learning, Financial Engineering or a related discipline
- Demonstrates an overall interest and understanding of the financial industry, finance-related quantitative products, and trading technology
- Embraces Nomura’s leadership behaviours including exploring insights and vision, making strategic decisions, inspiring entrepreneurship, elevating organizational capability, and fostering inclusion and a strong risk culture
Qualifications
- Advanced degree (MBA or MS) in a relevant quantitative field is required
Nomura










