Quantitative Researcher

3 weeks ago

Mumbai, Maharashtra, India Dolat Capital Full time

At Dolat Capital, we're a multi-strategy quantitative trading firm that relies on mathematical and statistical techniques to produce high returns. Our ultra-low latency trading infrastructure enables us to trade actively in various asset classes.

Quantitative research is the foundation of our trading strategies. We conduct in-depth analysis of market data to uncover relationships and identify historical trends for exploiting market anomalies. Our research team develops mathematical and statistical models based on historical data to represent markets and behavioral patterns.

As a Quantitative Researcher, you'll work with our team to develop mathematical models using statistical methods to build fully automated trading systems and strategies. We encourage collaboration, idea generation, and independent exploration of novel ideas.

Our team comprises bright quantitative researchers and analysts from various scientific disciplines who have built an array of analytical tools to help us design, develop, and run our quantitative strategies in financial markets.

We're seeking an empirical and imaginative thinker to join our team.

Key Responsibilities

  • Contribute to original research on quantitative indicators/models that drive the construction of high-frequency trading strategies
  • Develop trading strategies from idea generation and data collection to analysis and model creation
  • Extract predictive signals from financial data through statistical analysis methods
  • Assist software developers to translate research strategies into production software
  • Optimize the order execution and risk management of our trading system
  • Analyze large amounts of data and develop prediction algorithms/regression models and implement them in C++, R, Matlab, and Python environments
  • Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
  • Automate human-decision based trading strategies; prototype algorithmic trades from trading ideas
  • Apply analytical and simulation techniques to analyze model performance

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
  • Ability to advocate for your beliefs in a concise and effective way with the team
  • Creativity, solid analytical skills, and attention to detail
  • Ability to communicate complex ideas clearly

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