Market Strategist

6 days ago

amravati, India beBeeDataScientist Full time

Quantitative TraderOur company specializes in developing solutions that simplify the lives of digital asset traders and researchers. We achieve this by increasing transparency, accelerating speed, and empowering users with decision-making capabilities.This is an exciting period for our team as we onboard clients and rapidly build out our solutions to meet their needs.The role will provide hands-on experience with trading strategies, data analysis, and statistical modeling applied to digital asset markets.Responsibilities include conducting research on cryptocurrency markets, developing and backtesting algorithmic trading strategies using quantitative methods, analyzing large datasets, creating research reports and visualizations, collaborating with engineers, and supporting the development of risk management and portfolio optimization models.Conduct research on cryptocurrency markets, including price modeling, volatility analysis, and market microstructure.Develop and backtest algorithmic trading strategies using quantitative methods.Analyze large datasets across multiple exchanges to uncover patterns and identify trading opportunities.Create research reports and visualizations to communicate findings to stakeholders.Collaborate with engineers to integrate research into production trading systems.Support the development of risk management and portfolio optimization models.Key Success Factors:Curiosity and Resourcefulness: A key attribute for success at our company is natural aptitude, individual capability, and resourcefulness.Team Player: We believe in building strong, talented teams. As a Quantitative Trader, you'll have the opportunity to learn from those around you and contribute to a high-performing team.Integrity and Growth Mindset: We're looking for individuals who defend their positions with passion, but also maintain a bias toward 'doing right' rather than 'being right.'A Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Mathematics, Econometrics, Computational Finance, Physics) is preferred. Strong foundation in mathematics, statistics, or economics (e.g., probability, linear algebra, calculus), programming experience in Python, R, MATLAB, or related tools, familiarity with cryptocurrency markets and trading concepts, experience with data libraries such as pandas, numpy, scipy, and statistical modeling techniques are required.

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