公司位于纽约时代广场,主营业务是基金和数字银行。公司拥有专业团队和设备,与全球 80% 的顶级基金使用相同数据,提供专属数据库,可调用超35,000位专家访谈、超10,000+数据信息源AI检索、超400,000份调研报告。
线上or线下
6周
● Conduct in-depth fundamental analysis of companies across various sectors, focusing on financial statements, business models, and competitive landscapes.
● Develop and maintain detailed financial models to forecast company performance and valuation metrics.
● Generate actionable investment ideas for both long and short positions, supported by thorough research and analysis.
● Regularly present investment theses to the portfolio manager, defending recommendations with robust evidence.
● Provide timely updates on company-specific events, industry trends, and market developments that may impact the investment thesis.
● Currently pursuing a bachelor's or master's degree in Finance,Accounting, Economics, or a related field.
● Strong academic background with coursework in financial analysis, accounting, and investment management.
● Proficiency in Excel and basic knowledge of financial modeling.Familiarity with financial databases such as Bloomberg,FactSet, or Capital lQ is advantageous.
● Solid understanding of accounting principles and various valuation methodologies.
● Demonstrated ability to analyze complex information and present findings in a clear, structured manner.
● Produce high-quality research reports analyzing global macroeconomic trends and financial market dynamics.
● Regularly publish insightful, data-driven analyses to support company and client investment decisions.
● Monitor and assess the impact of major global market events and data releases on the economy and markets.
● Assist senior analysts with data collection, processing, and visualization to ensure report accuracy and reliability.
● Participate in research discussions and team meetings, sharing findings and insights.
● Currently pursuing a bachelor's or master's degree in Finance, Economics, Statistics, Mathematics, or a related field.
● Strong understanding of global macroeconomics and financial markets with solid analytical and research skills.
● Proficient in Excel, Python, or other data analysis tools with capabilities in data processing and visualization.
● Excellent writing and communication skills to translate complex financial concepts into clear, structured reports.
● Conduct research and statistical analysis to build and refine a complex algorithmic trading system .
● Create novel valuation models and translate complex algorithms into efficient code.
● Advance portfolio optimization techniques for multi-asset portfolios.
● Apply advanced computational methods to solve intricate financial challenges.
● Conduct rigorous back testing and deploy models in live trading environments.
● Advanced degree (BS/MS/PhD) in Mathematics,Statistics, Physics, Computer Science,Financial Engineering, or a highly quantitative field.
● Solid theoretical foundation in financial markets, time series analysis, machine learning, and signal processing.
● Proficient in Python programming, with expertise in data analysis and machine learning libraries.
● Deep understanding of financial markets with the ability to translate complex financial concepts into quantitative models.
● Exceptional problem-solving skills and innovative thinking, capable of maintaining high efficiency under pressure.
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