Quantitative Researcher
1 week ago
We are looking for a
Quantitative Researcher
to join our core research team and help design, test, and refine data-driven trading models. This role is ideal for someone who combines strong statistical thinking, market intuition, and a deep interest in edge discovery through rigorous experimentation.
You will work closely with quant developers, data scientists, and traders to develop strategies that scale across a wide range of market conditions.
Responsibilities
Conduct rigorous research and statistical analysis to evaluate securities, market opportunities, and investment strategies.
Analyze large, complex, and often high-frequency datasets to uncover trends and generate actionable insights.
Develop and continuously improve mathematical models and algorithms for trading, risk management, or investment forecasting.
Translate quantitative strategies into code and back-test models in live or simulated environments.
Collaborate with traders, software engineers, and other research staff to implement and refine models.
Prepare clear, concise research reports and presentations for both technical and non-technical audiences.
Ensure data integrity, manage sensitive research data, and adhere to relevant compliance and ethical standards.
Requirements
Advanced degree (Master’s or PhD preferred) in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field.
Strong programming skills in relevant languages such as Python, R, C++, or Matlab.
Solid understanding of probability, statistics, and machine learning techniques (e.g., time-series analysis, pattern recognition, optimization).
Demonstrable experience in statistical data analysis, hypothesis testing, and quantitative modeling.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently as well as collaboratively within a research-driven team environment.
Experience working in fast-paced, data-driven settings such as finance, trading, tech, or research is an asset.
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