ETrading Developer; Fixed Income
Listed on 2026-07-09
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Finance & Banking
Trading - Equity / Derivatives / Quantitative, Capital Markets
Location: Greater London
Company Overview
Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions:
Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership.
Nomura's Global Markets department provides liquidity, market insights, and execution services to clients worldwide across various asset classes, including equities, fixed income, currencies, and commodities. The team focuses on innovation and technology, providing clients with access to cutting‑edge trading platforms and customised solutions. The team specializes in market‑making, risk management, and electronic trading, and has a strong global presence.
We are a Rates‑focused eTrading Strats team, operating globally in London, New York and Tokyo. We are responsible for the development and operation of automated trading strategies, eBooks and pricing models across client and interdealer electronic venues.
Role DescriptionYou are a confident and self‑motivating quant/strat with a solid understanding of electronic markets, a client‑focused mindset and the ability to communicate with stakeholders across the bank. You thrive in a small, self‑organising team, value user feedback within an agile development process, and can manage expectations effectively. You have a demonstrable track record of owning delivery of high‑profile products to demanding business users, and you are familiar with the Fixed Income markets, both cash and derivatives.
KeyObjectives Critical to Success
- Design and develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis.
- Implement and optimise execution algorithms to improve trading efficiency and reduce market impact.
- Analyse market microstructure and develop models to predict short‑term price movements.
- Collaborate with quants, developers, and traders to translate trading ideas into production‑ready code.
- Monitor and evaluate the performance of trading strategies, making real‑time adjustments as necessary.
- Conduct research on new trading opportunities and market inefficiencies.
- Stay current with regulatory changes and ensure compliance in all trading activities.
- Develop and maintain relationships with electronic trading venues and liquidity providers.
- Contribute to the firm's overall electronic trading infrastructure and technology stack.
- Degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Experience in electronic trading or a similar role in financial markets.
- Strong programming skills in C++, Java, or Python with experience in low‑latency environments.
- In‑depth understanding of market microstructure, order types, and exchange connectivity.
- Proficiency in statistical analysis and machine learning techniques.
- Experience with high‑frequency trading (HFT) and algorithmic execution strategies.
- Excellent problem‑solving skills and ability to work under pressure in a fast‑paced environment.
- Strong analytical and quantitative skills.
- Creativity in developing novel trading strategies.
- Excellent communication skills to explain complex concepts to both technical and non‑technical audiences.
- Ability to work collaboratively in a team environment.
- Adaptability to rapidly changing market conditions and technologies.
- Strong ethical standards and commitment to market integrity.
- Experience with multiple asset classes (Rates, equities, futures, options, FX).
- Knowledge of market‑making strategies and risk management techniques.
- Familiarity with financial regulations (e.g., MiFID II, Reg NMS).
- Experience with distributed systems and cloud computing platforms.
- Experience with KDB or other time‑series databases.
- Explore Insights & Vision:
Identify underlying causes of problems and…
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