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Quantitative Researcher at Qube Research & Technologies
London, England, United Kingdom -
Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Statistics, Mathematics, Physics, Engineering, Machine Learning, NLP, AI Techniques, Coding, Python, R, Matlab, C++, C#, Signal Generation, Statistical Patterns, Problem Solving

Industry

Financial Services

Description
Your future role within QRT Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behaviour and model performance over time. You would lead the full strategy research cycle from signal generation to implementation. Your present skillset Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. Capacity to multi-task in a fast paced environment while keeping strong attention to detail. Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#). Experience in exploring large datasets across multiple time frames is a plus. Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. Capacity to work with autonomy within a collegial and collaborative environment. Strong capacity to communicate with technologists, data scientists and traders across the globe. Proven track record in delivering successful systematic strategies.
Responsibilities
The core objective is to create high-quality predictive signals by identifying statistical patterns and opportunities in large datasets. You will lead the full strategy research cycle from signal generation to implementation and monitor signal behavior over time.