Quant/ Research Analyst
4 weeks ago
Roles & Responsibilities:
- Developing trading strategies, from idea generation and data collection to analysis and model creation
- Perform large-scale analysis on proprietary dataset to solve problems
- Independent research on quantitative investment strategies across all asset classes
- He / she shall be a part of a team that works in a lab environment designed to prototype and market-test new concepts in various stock markets/commodities
- Multi asset class exposure with quantitative modelling experience, strategy back-tests, portfolio analytics, optimization and simulation.
- Developing systematic trading strategies based on statistical models
- Interpret and analyze large amounts of data using exploratory mathematical and statistical techniques.
- Develop tools to integrate trading decision systems with risk management system
- Contributing to original research on quantitative indicators/models that drive the construction of high-frequency trading strategies
- Developing trading strategies, from idea generation and data collection to analysis and model creation
- Extract predictive signals from financial data through statistical analysis methods
- Analyze a large amount of data and develop prediction algorithms/regression models
- Formulate and apply mathematical modelling techniques to enhance existing trading strategies and perform innovative new research to identify and capture trading opportunities
- Applying analytical and simulation techniques to analyze model performance
- Processing, cleansing, and verifying the integrity of data used for analysis
SKILLS:
- Experienced in quantitative back -testing in asset classes, stocks, futures and options
- Should be self -driven and detail oriented with an analytical mindset
- Should be a proactive and quick learner
- A team player showing enthusiasm and drive to accomplish results in a fast -paced environment
- Excellent mathematical and statistical skills
- Good command over MS office suite & statistical tools
Must Haves
- A strong academic record with a preference for a master's in a quantitative discipline - , mathematics, econometrics, statistics, or a related discipline
- A demonstrated capacity to do first-class research & experience in tackling in-depth research projects.
- Strong computer skills and experience working with data.
- Understanding in at least some of the following areas: time-series analysis, statistical estimation, scenario analysis, numerical optimization.
- A curiosity for model development and experience handling large data sets
- Strong problem-solving and analytical skills
- The proactive ability to take the lead on assignments and deliver practical research results in a timely manner.
- Creativity, solid analytical skills and attention to detail.
- The ability to communicate complex ideas clearly.
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