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Quantitative Researcher - HFT

JR United Kingdom

Lincoln

On-site

GBP 60,000 - 90,000

Full time

7 days ago
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Job summary

A world-leading proprietary trading firm is looking for a Quantitative Researcher to enhance their high-frequency trading strategies. This role offers the chance to work with advanced technology and collaborate with leading academics in quantitative trading. If you're skilled in algorithm design and optimization, apply now for a competitive compensation package.

Qualifications

  • Relevant quantitative degree required.
  • Proven track record in algorithmic trading.
  • Proficiency in machine learning and coding.

Responsibilities

  • Design, implement, and optimize algorithmic trading strategies.
  • Collaborate with academic minds to improve trading strategies.
  • Manage risk to optimize trading performance.

Skills

Analytical skills
Problem-solving
Machine learning
Coding in Python
Coding in C++
Coding in Java
Communication
Leadership

Education

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

Job description

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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.

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