Quantitative Research Intern at AlphaGrep, responsible for managing data for algorithmic processes, building models, developing methodologies, conducting A/B testing, and streamlining model training processes.
AlphaGrep is a quantitative trading and investment firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.
Responsibilities
AlphaGrep is seeking an exceptional Quantitative Reseach Intern to join us for a 6 months internship in our Mumbai office.
Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:
Responsibilities:
- Prepare and manage data for algorithmic processes.
- Build models using both raw and constructed data.
- Develop methodologies to filter signals.
- Employ ensemble methods and conduct A/B testing to improve and validate model performance.
- Streamline model training processes utilizing computational clusters.
Requirements:
- Deep understanding of neural networks and deep learning algorithms (experience with LSTM is a plus).
- Proficient in applications of statistical methods for time series analysis.
- Expertise in predictive algorithm design and implementation.
- Proficient in feature engineering.
- Ability to harness computational power.
- Detail oriented and inquisitive to problem solving.
- Stellar communication skills, with an emphasis on clarity and conciseness.
- Programming experience in Python and familiarity with deep learning frameworks such as Tensorflow.
Why You Should Join Us:
- Great People. We're curious engineers, mathematicians, statisticians and like to have fun while achieving our goals
- Transparent Structure. Our employees know that we value their ideas and contributions
- Relaxed Environment. We have a flat organizational structure with frequent activities for all employees such as yearly offsites, happy hours, corporate sports teams, etc.
- Health & Wellness Programs. We believe that a balanced employee is more productive. A stocked kitchen, gym membership and generous vacation package are just some of the perks that we offer our employees
Top Skills
Python
TensorFlow
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