Quantitative Analyst (072A9EA)
Referment
Quantitative Analyst
About the Role
This role combines mathematical modelling, software development, and empirical market research for a global investment and technology firm. You will be responsible for turning ideas into strategies that can be tested against real-world data, working on problems where better signals, lower risk, and more efficient execution all matter. The remit is suited to someone who enjoys moving between theory, code, and evidence.
Key Responsibilities
- Use financial data to investigate opportunities to improve profitability, manage risk, and reduce transaction costs.
- Develop statistical models and translate research ideas into systematic trading strategies.
- Test strategies critically, separating durable results from noise and understanding how they behave under different market conditions.
- Write software that supports research, analysis, and implementation.
Qualifications
- A strong academic record in mathematics, statistics, physics, engineering, computer science, or another highly quantitative discipline.
- Excellent analytical reasoning and the ability to express quantitative ideas precisely.
- Programming ability and an interest in applying mathematical methods to financial markets.
- Curiosity, creativity, and the discipline to evaluate your own hypotheses rigorously.
This role could suit a recent graduate or early-career researcher with exceptional quantitative foundations who wants to work across modelling, coding, and systematic investing.