Quantitative Research & Strategy Analyst

Drive data-driven investment and business decisions by developing quantitative models, uncovering market insights, testing strategies, and transforming complex datasets into rigorous, actionable solutions that deliver measurable impact.

What You'll Do:

1. Conduct quantitative research across financial, market, economic, and alternative datasets.
2. Develop, test, validate, and refine statistical and mathematical models.
3. Identify meaningful patterns, trends, relationships, and predictive signals within complex datasets.
4. Design and backtest quantitative strategies, signals, and predictive models.
5. Apply statistical analysis, hypothesis testing, optimization, and model evaluation techniques.
6. Build data pipelines, research tools, and analytical workflows that support efficient quantitative research.
7. Monitor strategy and model performance, investigate risk, and identify sources of performance degradation.
8. Collaborate with traders, portfolio managers, data scientists, engineers, and risk professionals.
9. Clearly document research methodologies, assumptions, findings, and recommendations.
10. Stay current with emerging quantitative methodologies, technologies, datasets, and research techniques.
11. Communicate complex research findings effectively to both technical and non-technical stakeholders.

Your Responsibilities Will Include:

1. Turning complex datasets into clear, evidence-based insights.
2. Developing robust quantitative models and systematic strategies.
3. Ensuring research is statistically rigorous, reproducible, and well documented.
4. Evaluating model performance and challenging assumptions to improve research quality.
5. Combining strong programming capabilities with mathematical and statistical reasoning.
6. Contributing independently while collaborating effectively across multidisciplinary teams.

Why Join Us:

1. Work on challenging and intellectually stimulating quantitative problems.
2. Gain exposure to advanced research, technology, datasets, and analytical methodologies.
3. Make a measurable impact through data-driven decision-making.
4. Develop your expertise within a collaborative and learning-focused environment.
5. Access opportunities for professional growth and continuous technical development.
6. Benefit from competitive compensation and performance-based incentives.

About You:

1. You are an analytical, curious, and highly motivated quantitative thinker with a strong foundation in mathematics, statistics, probability, linear algebra, calculus, and optimization. You are confident using Python and SQL to analyse data, build models, and investigate complex problems.
2. You bring strong problem-solving skills, meticulous attention to detail, and a genuine research mindset. Experience with financial markets, portfolio theory, systematic strategies, machine learning, time-series analysis, factor models, statistical arbitrage, or quantitative finance is highly valued.
3. Experience with C++, R, Git, cloud technologies, distributed computing, financial datasets, alternative data, or high-frequency data is advantageous. Academic research, publications, competitions, or demonstrable quantitative projects are also welcome.
4. Most importantly, you can formulate thoughtful research questions, challenge assumptions, communicate your conclusions clearly, and turn rigorous analysis into practical solutions.

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