C++ Quant Dev for High-Speed Trading (EMEA) — Hybrid

Tower Research Capital; City Of London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid working opportunities

Generous paid time off

Well-stocked kitchens

Office wellness programs

Tech talks & continuous learning

Job summary

Tower Research Capital in London is seeking a Quant Developer to join one of its trading teams. You will improve the research framework by building tools for low latency execution, backtesting, and scalable data processing on-site in the EMEA region.

You will work on high-frequency trading platform design, optimization of ML-based algorithms, and systems supporting historical data and simulations. Strong C++ skills and a track record in fast-paced engineering are essential.

Qualifications

• Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience)
• Strong background in data structures, algorithms, and object-oriented programming in C++
• Brilliant problem-solving abilities
• Ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• Python and/or financial markets experience preferred but not required

Responsibilities

• Designing and implementing a low latency high-frequency trading platform
• Assisting in the development of a tick-by-tick backtesting research platform
• Assisting in development and optimizing large-scale parallel computation problems that require large quantities of data shared across resources
• Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates
• Developing systems, interfaces, and tools to historical market data and trading simulations that increase research productivity
• Creating tools to analyze data and generate insights that research decisions are based on

Skills

C++

Data structures

Algorithms

OOP

Python

Education

CS/Engineering degree

Job description

Tower Research Capital in London is seeking a Quant Developer to join one of its trading teams. You will improve the research framework by building tools for low latency execution, backtesting, and scalable data processing on-site in the EMEA region.

You will work on high-frequency trading platform design, optimization of ML-based algorithms, and systems supporting historical data and simulations. Strong C++ skills and a track record in fast-paced engineering are essential.