Quant/Researcher

Description

We are seeking a highly analytical and technically strong Quantitative Researcher to join a recognised Cayman based organisation. The successful candidate will be responsible for developing quantitative research, statistical models, and systematic approaches to support investment and trading decisions.
This is an opportunity for an individual with a strong background in mathematics, statistics, computer science, physics, engineering, or a related quantitative discipline to work on complex research problems involving financial markets, large datasets, and quantitative modelling.

Key Responsibilities

• Conduct quantitative research across financial markets and identify potential investment and trading opportunities.
• Develop, test, and improve statistical and mathematical models.
• Analyse large and complex datasets to identify patterns, relationships, trends, and market signals.
• Design and implement systematic research methodologies and quantitative strategies.
• Perform statistical analysis, backtesting, simulation, and scenario analysis.
• Develop tools and frameworks to evaluate investment ideas and model performance.
• Research market behaviour, pricing relationships, risk factors, and other quantitative signals.
• Work with historical and alternative datasets to generate actionable insights.
• Monitor and evaluate the performance and robustness of quantitative models.
• Apply appropriate statistical techniques to avoid overfitting and ensure research results are robust.
• Collaborate with investment, trading, technology, and data professionals to translate research into practical applications.
• Maintain clear documentation of research methodologies, assumptions, results, and model limitations.
• Continuously investigate new datasets, methodologies, technologies, and quantitative techniques.

Technical Responsibilities

• Develop research and analytical tools using Python, R, MATLAB, C++, or similar programming languages.
• Work extensively with statistical modelling, machine learning, time-series analysis, and numerical methods.
• Build and maintain quantitative research datasets and analytical pipelines.
• Perform data cleaning, transformation, feature engineering, and exploratory data analysis.
• Develop backtesting and simulation frameworks.
• Analyse model performance using appropriate statistical and risk metrics.
• Where appropriate, contribute to the automation and productionisation of quantitative research.

Required Qualifications & Experience

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Physics, Engineering, Economics, or another highly quantitative discipline.
• Strong quantitative and analytical capabilities.
• Professional experience in quantitative research, systematic trading, algorithmic trading, financial modelling, data science, or a closely related field.
• Strong programming skills, particularly in Python and/or C++.
• Strong understanding of probability, statistics, linear algebra, calculus, and numerical methods.
• Experience working with large datasets and performing statistical analysis.
• Experience with financial markets and quantitative investment research is highly desirable.
• Strong understanding of backtesting, model validation, and statistical significance.
• Ability to independently formulate research questions, conduct analysis, and communicate findings.

Desirable Experience

• Experience researching equities, futures, FX, commodities, fixed income, or digital assets.
• Experience with systematic or algorithmic trading strategies.
• Knowledge of market microstructure and trading mechanics.
• Experience with time-series modelling and forecasting.
• Experience with machine learning techniques applied to financial data.
• Experience working with alternative datasets.
• Familiarity with cloud computing, distributed computing, or high-performance computing environments.
• Experience with SQL and modern data infrastructure.