Quantitative researcher
1 week ago
ROLES AND RESPONSIBILITIES
» Designing high/mid frequency trading strategies – you will have access to market data from various exchanges across the world. We expect you to analyze the data, find patterns and explore inefficiencies in the market and come up with algorithms that capitalize on such opportunities. Such opportunities exist only for a (small) fraction of a second and hence the algorithm must be very efficient.
» Conceptualize strategies, develop and continuously improve upon mathematical models, and help translate algorithms into code
» Modelling gigabytes of data to analyze, find pattern and test gigabytes of data every day from various exchanges via P ython or R and C++ to ascertain micro behavioural patterns.
» Explore Market Microstructure to find trading signals and opportunities: We expect you to study market data and build predictive models. Such models explore order flow which is an essential part of market microstructure study.
» Help in improving existing trading strategies: We are already running a few strategies in exchanges and other trading venues across the world. We expect you to help the desk in improving these existing strategies.
» Back test and implement trading models and signals in a live trading environment. We expect you to back test your idea for latency, Pn L and other metrics.
» Conduct research and statistical analysis to build and refine monetization systems for trading signals.
» Trading a vast portfolio.
» Developing business critical reports
REQUIREMENTS
The role suits a self-motivated, highly energetic individual who has a strong background in coding and a keen interest in both financial markets and commodities. Other requirements are:
» Deep quantitative/programming background with a graduate degree (Bachelor’s, Master’s, Ph D degree) in Statistics, Engineering, Computer Science, Mathematics, Operations Research, Economics, or another highly quantitative field.
» Minimum 2 years of experience required, preferably from high Frequency Trading (HFT)/ Algo firm.
» Strong knowledge of probability and statistics (e.g. Machine learning, time-series analysis, pattern recognition, NLP). Must be conversant with either Python or R and C++.
» Proficient in Data science, machine learning and overall market microstructure.
» Working knowledge of Linux will be preferred.
» Prior experience of trading is an advantage but not necessary.
» Prior experience working in a data driven research environment.
» Strong interest in Machine Learning / AI Techniques.
» If you have expertise and experience in ML based systems and have interest in the markets and trading, we encourage you to apply.
» Excellent analytical skills, with strong attention to detail and ability to reach solutions. Ability to work under pressure, with minimal supervision, and in a team environment.
PERKS
In addition to an outstanding and organic work environment with rapid advancement potential, we offer benefits, including:
» Competitive compensation to the right candidates.
» Annual bonuses based on performance to full-time employees.
» Health Coverage
» Limitless growth and learning opportunities.
» Fully stocked Pantry.
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