Quantitative Trader

2 weeks ago


delhi, India Pi42 Full time
Job Title: Quantitative Trader
About us:
We're on a mission to reshape the future of crypto futures trading. We're building a dynamic team of passionate individuals who are eager to embark on this exciting journey with us.
Join us at pi42.exchange, and be part of a team that's poised to make a significant impact in the world of crypto futures trading.
Job Summary:
We are seeking a skilled Quantitative Trader to join our dynamic team. As a trader, you will play a vital role in analyzing market trends, executing trades, and optimizing trading strategies. This position requires a strong analytical mindset, attention to detail, and a deep understanding of financial markets.
Responsibilities and Duties:
Develop and implement quantitative trading strategies for cryptocurrency futures markets.
Conduct in-depth research and analysis of market data to identify trading opportunities.
Build and maintain mathematical models and algorithms for trading.
Good understanding on trading strategies and hands on experience on applying the strategies on trade
Monitor market trends, economic indicators, and news to inform trading strategies.
Monitor trade execution and ensure timely and accurate transactions.
Assess and manage trading risks, including exposure and position limits.
Implement risk mitigation strategies to safeguard the organization's assets
Utilize statistical models and quantitative analysis to enhance trading strategies.
Contribute to the development and optimization of algorithmic trading models.
Provide regular reports on trading performance and key metrics.
Collaborate with other team members to improve trading strategies and systems.
Qualifications and Requirements:
Bachelor's degree in Finance, Economics, Mathematics, or a related field.
Should be a trader herself/himself
3-5 years of proven experience as a Trader.
Strong analytical and quantitative skills.
Experience with algorithmic trading and statistical modeling.
Proficiency in programming languages such as Python, Matlab or R.
Familiarity with trading platforms and tools.
Excellent risk management and decision-making skills.
Knowledge of financial instruments and markets.
Effective communication and collaboration skills.
Ability to thrive in a fast-paced and dynamic trading environment.
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