Quantitative Trader

2 weeks ago


Bangalore Urban, 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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