The Quantitative Analyst / Quant Researcher / Quant Developer applies mathematical modelling, statistical analysis, and programming to financial research, risk assessment, and trading systems. The role works with investment, trading, risk, and technology teams to analyse data, evaluate models, and develop reliable analytical tools.
Quantitative Analyst positions focus on pricing, risk, and portfolio analysis. Quant Researcher positions develop and test investment hypotheses and trading strategies. Quant Developer positions build research infrastructure, implement models, and maintain production systems.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Physics, Finance, or a related quantitative field.
- Strong knowledge of probability, statistics, numerical methods, and optimisation.
- Proficiency in Python and SQL; C++ or another compiled language is beneficial for developer positions.
- Experience analysing financial datasets and validating data quality.
- Understanding of financial instruments, market behaviour, and risk measures.
- For analyst positions, experience with valuation, risk modelling, or portfolio analytics.
- For researcher positions, experience with time-series analysis, backtesting, and out-of-sample validation.
- Ability to identify overfitting, data leakage, and the effects of transaction costs.
- For developer positions, strong software engineering skills, including testing, version control, and performance optimisation.
- Strong analytical and communication skills; an advanced quantitative degree is an advantage.
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