Quant / Research Analyst

Job Description:

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.