Quantitative Researcher
Please ensure you read the below overview and requirements for this employment opportunity completely.
£150,000 GBP
+ £100,000
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. They have
deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a
technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading
platforms to large scale data analysis and compute farms. With offices around the globe, they emphasize true, global
collaboration by aligning their investment, technology, and operations teams functionally around the world. Building on
their quantitative research platform and process-driven approach, they also run discretionary strategies to augment their
systematic approach and monetize opportunities which may not be suitable to be traded in a systematic strategy.
Role/Responsibilities: Perform rigorous and innovative research to discover systematic anomalies in equity markets
End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization, and production implementation
Identify and evaluate new datasets for stock return predictions
Maintain and improve the portfolio trading in the production environment
Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, xsngvjr or other quantitative fields with a strong foundation in statistics
Demonstrated proficiency in Python
Strong command of foundations of applied statistics, linear algebra, and time series models
Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
Knowledge of financial markets
Highly motivated, willing to take ownership of his/her work
Collaborative mindset with strong independent research ability
Commitment to the highest ethical standards
Reference: AMC/AHU/NW/QR010
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