About the role
Vacancy detail
Junior Quantitative Researcher
120,000 GBP
+ 70,000
Onsite WORKING
Location: Central London, Greater London – United Kingdom Type: Permanent
About the Firm
Our client is a global quantitative hedge fund with an established track record of successfully developing and executing systematic trading strategies for more than a decade. Originally spun out as a hedge fund, the firm now operates internationally and brings together expertise across quantitative research, trading, and technology.
The firm operates sophisticated, high-performance trading infrastructure designed to support significant trading volumes across multiple markets and asset classes.
The Role
As a Quantitative Trader, you will work within the firm's automated trading framework to research, develop, and implement systematic trading strategies.
Key responsibilities include:
- Researching and implementing systematic trading strategies using the firm's automated trading infrastructure.
- Applying advanced statistical techniques to analyse large datasets and identify potential trading opportunities.
- Developing a strong understanding of market microstructure, exchange mechanics, and the characteristics of different asset classes.
- Conducting pre-market checks to ensure that all required data, systems, and processes are functioning correctly.
- Monitoring the behaviour and performance of trading strategies throughout the trading day.
- Working closely with colleagues across quantitative research, trading, and technology teams globally.
Ideal Candidate
The successful candidate will have a strong quantitative background, ideally with a Master's or PhD in a relevant discipline such as:
- Mathematics
- Statistics
- Econometrics
- Financial Engineering
- Operations Research
- Computer Science
- Physics
You should also have:
- Strong programming skills in at least one major programming or scripting language, preferably Python, C++, or R.
- A strong interest in quantitative trading and systematic strategies.
- The ability to analyse data using statistical and quantitative techniques.
- Excellent communication and collaboration skills, particularly when working with colleagues across different regions.
- The ability to perform effectively in a fast-paced, high-pressure environment.
- Strong attention to detail and a methodical approach to problem-solving.
Reference: AMC/AHU/NW/QR009
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