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Quantitative Researcher

Anson McCadelondon, london🇬🇧United Kingdom

Quick overview

Salary£120k - £150k/yr
SeniorityMid Senior
Work modeOn Site
Locationlondon, london, United Kingdom
MATLABNLPC#ComplianceC++PythonMachine Learning

Job description

Vacancy detail

Quantitative Researcher/ Trader

150,000 GBP

120,000

Onsite WORKING

Location: 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

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