Overview
Our client has an exciting opportunity for an Equity Systematic Researcher/Developer to join their team. This role involves conducting quantitative research and developing systematic trading strategies for equity markets. The successful candidate will be responsible for analysing large datasets, designing and implementing trading models, and optimising performance through advanced statistical and machine learning techniques.
Job Duties
* Conduct research to identify and develop systematic equity trading strategies
* Analyse large financial datasets to uncover alpha signals and trading opportunities
* Design, implement, and test quantitative models using statistical and machine learning techniques
* Develop and optimise execution algorithms to improve trade performance
* Collaborate with portfolio managers, traders, and other researchers to enhance investment strategies
* Maintain and enhance research infrastructure, including data pipelines and backtesting frameworks
* Monitor model performance and adapt strategies to evolving market conditions
Job Requirements
* Strong quantitative and analytical skills, with experience in systematic equity research or trading
* Proficiency in programming languages such as Python, R, or C++
* Experience working with large datasets and statistical modelling techniques
* Knowledge of financial markets, equity trading, and portfolio construction
* Ability to develop, test, and implement systematic trading models
* Strong problem-solving skills and the ability to work in a fast-paced environment
* A degree in a quantitative discipline such as mathematics, statistics, finance, or computer science; an advanced degree is desirable
What You'll Love
This is a fantastic opportunity to work in a cutting-edge environment where research and innovation drive investment decisions. Our client offers a dynamic and collaborative culture, with access to state-of-the-art technology and data resources to support your research and development efforts.
#J-18808-Ljbffr