Quantitative Research Analyst
4 weeks ago
At Dolat Capital, we are dedicated to producing high returns using mathematical and statistical techniques. Our team of quantitative researchers develops mathematical and statistical models to represent markets and behavioural patterns.
As a Quantitative Researcher, you will contribute to original research on quantitative indicators/models that drive the construction of high-frequency trading strategies. You will develop trading strategies from idea generation and data collection to analysis and model creation.
Key responsibilities include extracting predictive signals from financial data through statistical analysis methods, assisting software developers to translate research strategies into production software, and optimizing the order execution and risk management of our trading system.
Our team collaborates on idea generation, strategy development, and encourages independent exploration of novel ideas. We are seeking an empirical and imaginative thinker to join our team.
Requirements
- A strong academic record with a preference for a master's/PhD degree in a quantitative discipline – computer science, mathematics, physics, statistics, or a related discipline
- A demonstrated capacity to do first-class research & experience in tackling in-depth research projects.
- Strong computer programming skills and experience working with data.
- Understanding in at least some of the following areas: time-series analysis, statistical estimation, Bayesian techniques, scenario analysis, numerical optimization and optimal control.
- A curiosity for model development and experience handling large data sets
- Strong problem-solving and statistics skills
- The proactive ability to take the lead on assignments and deliver practical research results in a timely manner
- Can advocate for your beliefs in a concise and effective way with the team
- Creativity, solid analytical skills and attention to detail.
- The ability to communicate complex ideas clearly.
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