Quantitative Researcher

New Yesterday

Quantitative Researcher
£200,000 GBP
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent

My client is a leading global investment management firm that delivers high-quality, uncorrelated returns through a diversified set of systematic and quantitative strategies across global financial markets. The firm's success is driven by deep expertise in trading, technology, and operations, underpinned by rigorous scientific research. As a highly technology- and data-driven organization, it builds proprietary, cutting-edge systems ranging from high-performance trading platforms to large-scale data analytics and compute infrastructure. With a global footprint, the firm fosters true cross-border collaboration by aligning investment, technology, and operations teams worldwide. Complementing its systematic platform, the firm also runs discretionary strategies to capitalize on opportunities not well suited to purely systematic trading.

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, 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/THO/QR001

Postcode: EC2M

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Location:
City Of London
Salary:
not provided
Job Type:
FullTime
Category:
Science

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