Quantitative Researcher - HFT

Algo Capital Group; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the hunt for a talented Quantitative Researcher to join their elite HFT team. In this pivotal role, you will design and optimize cutting-edge algorithmic trading strategies while collaborating with top-tier academic minds. The position offers a competitive compensation package, including performance-based bonuses, and the chance to work with state-of-the-art technology. If you thrive in a fast-paced environment and have a passion for quantitative trading, this opportunity is perfect for you. Join a team that is committed to pushing the boundaries of trading advancements and making a significant impact in the financial markets.

Qualifications

• Bachelor’s or master’s in quantitative fields like Mathematics or Computer Science.
• Proven experience in algorithmic trading strategies.

Responsibilities

• Design and optimize high-frequency trading strategies.
• Collaborate with academic experts to improve trading strategies.
• Manage risk effectively to enhance trading performance.

Skills

Machine Learning

Analytical Skills

Problem-Solving

Coding in Python

Coding in C++

Coding in Java

Education

Bachelor’s Degree in Mathematics

Master’s Degree in Statistics

Bachelor’s Degree in Physics

Bachelor’s Degree in Computer Science

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance, Information Technology, and Analyst

Industries

Capital Markets, Investment Management, and Financial Services