Quantitative trader
About the Company
Our client is a leading quantitative trading and high-frequency trading firm with a strong presence in global financial markets. Leveraging cutting-edge technology, advanced quantitative research, and ultra-low-latency infrastructure, the firm trades across a range of asset classes including equities, futures, options, and ETFs.
The business is built around a culture of innovation, collaboration, and continuous improvement, where traders, researchers, and engineers work together to identify opportunities and develop market-leading trading strategies.
The Role
As a Quant Trader, you will be responsible for researching, developing, and managing systematic and semi-systematic trading strategies in highly competitive electronic markets.
You'll work directly with experienced traders and quantitative researchers to analyse market behaviour, identify new opportunities, improve existing strategies, and optimise trading performance.
This is a highly impactful role offering significant autonomy, fast feedback loops, and direct exposure to live trading.
Responsibilities
- Develop, test, and deploy quantitative trading strategies.
- Analyse large datasets to uncover alpha opportunities and market inefficiencies.
- Monitor and optimise live trading performance.
- Conduct research into market microstructure and execution dynamics.
- Improve risk management and portfolio construction methodologies.
- Collaborate with researchers and engineers to enhance trading systems.
- Evaluate strategy performance and identify opportunities for refinement.
- Respond to changing market conditions and adapt trading models accordingly.
Requirements
- Strong academic background in Mathematics, Physics, Statistics, Computer Science, Engineering, or a related quantitative field.
- Proven experience in quantitative trading, quantitative research, or a highly analytical environment.
- Excellent understanding of probability, statistics, and data analysis.
- Strong programming skills in Python, C++, Rust, or similar languages.
- Ability to work with large datasets and build quantitative models.
- Strong interest in financial markets and trading.
- Excellent problem-solving and decision-making skills.
Preferred Experience
- Experience within a proprietary trading, HFT, hedge fund, or market-making environment.
- Knowledge of market microstructure and electronic trading.
- Experience trading equities, options, futures, or ETFs.
- Familiarity with machine learning and statistical modelling techniques.
- Exposure to low-latency or high-performance trading systems.
What You'll Get
- Work alongside some of the strongest traders, researchers, and engineers in the industry.
- Direct impact on live trading strategies and firm performance.
- Access to industry-leading technology and market data.
- Fast-paced environment with immediate feedback on ideas and research.
- Exceptional earning potential through a highly competitive bonus structure.
- Flat hierarchy and meritocratic culture.
- Opportunity to learn, grow, and take ownership from day one.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.Â
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