Quantitative Researcher - HFT

JR United Kingdom; Stoke-on-Trent; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading prop firm seeks a skilled Quantitative Researcher for high-frequency trading in Stoke-on-Trent. You will design advanced trading strategies and collaborate with top academics to innovate in quantitative trading. A competitive salary and bonuses are part of a dynamic work environment.

Benefits

Competitive compensation package

Performance-based bonuses

Opportunity to work with cutting-edge technology

Qualifications

• Proven track record in algorithmic trading.
• Ability to thrive in a fast-paced environment.
• Strong communication and leadership skills.

Responsibilities

• Design and optimize HFT algorithmic strategies.
• Collaborate with researchers and engineers.
• Manage risks effectively to enhance performance.

Skills

Machine Learning

Analytical skills

Problem-solving

Coding

Education

Bachelor’s or master’s degree in Mathematics, Physics, Statistics, Computer Science

Tools

Python

C++

Java

Job description

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Quantitative Researcher - HFT, stoke-on-trent

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Client:

Location:

stoke-on-trent, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Quantitative Researcher – High Frequency Trading

A world leading prop firm is seeking a highly skilled and experienced Quantitative Researcher to join their world-class HFT team. In this role, you will be responsible for designing, implementing, and optimizing high-performance algorithmic trading strategies. You will collaborate with top academic minds in research and engineering to continually improve existing strategies and stay at the forefront of quantitative trading advancements.

Responsibilities:

• Design, implement, and optimize HFT algorithmic strategies
• Collaborate with the best academic minds in research and engineering to continually improve existing strategies and develop new ones.
• Manage risk effectively to optimize trading performance.
• Investigate and implement new trading products and strategies.
• Stay up-to-date with the latest advancements in quantitative trading and apply them to improve trading strategies.

Qualifications:

• Bachelor’s or master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields.
• Proven track record of designing, implementing, and optimizing algorithmic trading strategies.
• Proficient in machine learning techniques and tools.
• Excellent analytical and problem-solving skills.
• Strong coding skills in languages such as Python, C++, or Java.
• Ability to work in a fast-paced, dynamic environment.
• Strong communication and leadership skills.

A competitive compensation package, including a base salary and performance-based bonuses, is offered. You will have the opportunity to work with cutting-edge technology and collaborate with top academic minds in the field of quantitative trading. Please apply now for more information.