Quant Trading Strats VP - Next-Gen Execution Algorithms

Nomura Holdings, Inc.; Hayes End; On-site; GBP 150,000 - 210,000; Full time

Job summary

Nomura Holdings, Inc. in London seeks a Vice President to lead the Quant Trading Strats group, driving next-generation equity execution algorithms for global markets.

You will direct research, design, and production deployment of state-of-the-art trading strategies with a focus on smart order routing and low-latency performance. The role requires an advanced degree and 5+ years in trading or real-time algorithm development, plus 3+ years in R&D of agency execution algorithms and ML applications

Qualifications

• Advanced degree (MS/PhD) in a related field.
• 5+ years in trading or real-time algorithm development.
• 3+ years in R&D of agency execution algorithms and HFT strategies.
• Deep expertise in equity market microstructure and order book dynamics.
• Strong programming skills in Python or R; Java desirable.

Responsibilities

• Lead development of next-generation equity execution algorithms for global markets.
• Design and maintain low-latency, high-throughput trading systems.
• Apply statistical modelling and ML to signals and schedules.
• Collaborate with traders, risk, product, and tech teams on new products.
• Mentor junior team members and ensure regulatory compliance.

Skills

Python

R

C++

Low-latency computing

Machine learning in trading

Data analysis

Education

MS/PhD in relevant field

Tools

Q/KDB

Time-series databases

Numerical libraries

Optimization frameworks

Distributed systems

Job description

Nomura Holdings, Inc. in London seeks a Vice President to lead the Quant Trading Strats group, driving next-generation equity execution algorithms for global markets.

You will direct research, design, and production deployment of state-of-the-art trading strategies with a focus on smart order routing and low-latency performance. The role requires an advanced degree and 5+ years in trading or real-time algorithm development, plus 3+ years in R&D of agency execution algorithms and ML applications