HFT Quantitative Researcher – QRT Academy at Qube Research & Technologies

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Algorithmic Trading, Mentoring, Collaboration, Machine Learning, Deep Learning, Statistics, Linear Algebra, Optimisation, Market Microstructure, Python, C++, Hardware Acceleration, Communication Skills, STEM Education, Project Guidance

Industry

Financial Services

Description

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT Identify novel approaches and methodologies from academic and industrial research to produce predictive algorithmic trading models. Mentor and develop junior researchers through hands-on project guidance and internship co-supervision. Collaborate with cross-asset Research, Trading and Infrastructure teams. Deliver constructive feedback and conduct regular research project reviews, fostering the development of advanced technical and research skills. Build and nurture strong partnerships with leading academic institutions, and research groups. Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations. Your present skillset Prior experience in electronic, market-making, or proprietary trading environments. Education in STEM and Advanced Degree holder, with strong preference to PhD. Knowledge of ML/AI, deep learning, statistics, linear algebra, and optimisation. Familiarity with market microstructure. Strong educational and communication skills as well as a collaborative, mentoring-oriented mindset. Experience with Python and C++; exposure to hardware acceleration APIs (e.g. FPGA) is a plus. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Responsibilities

The role involves identifying novel approaches and methodologies to produce predictive algorithmic trading models and mentoring junior researchers. Additionally, it includes collaborating with various teams and building partnerships with academic institutions.