Quantitative Researcher/ Trader
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Central London, Greater London - United Kingdom
Type:
Permanent
My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative
strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients.
With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology, and
operations teams functionally around the world.
Your future role
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
Min 4 years of relevant experience
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
Reference:
AMC/AHU/NW/JQR01
#alhu TPBN1_UKTJ
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