Equity Research Associate at M Science in NYC Metro Area

Summary: M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. The Equity Research Associate will assist in leading a data-driven research approach to covering companies across various sectors, focusing on building financial models, performing data analysis, and generating investment research. Responsibilities: - Development and deployment of statistical models for estimation and prediction of corporate performance across various sectors - Identify and execute creative ways to answer key industry questions using our proprietary data and insights - Gather and analyze data from a variety of internal and external resources, including, but not limited to: proprietary datasets; company documents and materials; SEC/regulatory filings such as annual reports and 10Ks; industry publications; and online data services - Write, edit, and publish equity research reports incorporating insights derived from financial and statistical models - Vet new and unique data sets for relevancy to continually improve and broaden our scope and accuracy - Perform ad hoc analyses in response to client requests - Support the sales process by developing analyses for sales pitches and press releases Required Qualifications: - Proficient with Excel, mathematical modeling, and have a basic understanding of financial statements and accounting - Experience with Python, SQL, or R required - Effective written and verbal communicator - Self-motivated, detail-oriented, and a creative thinker - Strong interest in the intersection of 'alternative data,' investment research, and financial markets - Functional understanding of data analysis using Python, SQL, Tableau is a must - Ability to identify and work with strategic data partners - Responsible for forecasting KPIs and identifying key business/industry trends based on use of alternative data - Experience working with and analyzing large data sets and in developing actionable intelligence from the data - Degree from a top university with a consistent record of academic excellence, preferably in computer science, statistics, economics, mathematics, engineering, finance or other program that is technical and quantitative in nature Required Skills: Python, SQL, Data analysis Important Skills: Tableau, Financial modeling Nice-to-Have Skills: Creative thinking Benefits: Annual discretionary incentive bonus, Medical, dental & vision coverage, 401(k), Life, accident, disability insurance, Wellness programs, Paid time off packages that include planned time off (vacation), Unplanned time off (sick leave), Paid holidays, Paid parental leave