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We are looking for a Research Associate to help develop a new approach to strategy replication leveraging machine learning. You will be identifying and analyzing equity investment strategies, alternative data sources, and NLP to develop inputs into state-of-the-art algorithms.
You're you looking to combine a passion for equities with data-driven decision making. Always willing to roll up your sleeves in order to find results, you thrive in a collaborative environment where you're always being challenged to find solutions to unique problems. Job description/Role Responsibility:
Working with sell-side/buy-side analysts to identify successful investment strategies appropriate for replication
Working with data analysts and machine-learning engineers to drive the creation, direction, and strategy of a long-term fundamental investing product
Developing proprietary data sources and analyzing alternative data sources
Managing external partners involved in data set creation (e.g. Crowdsourcing vendors, etc.) Working with team leaders to identify and translate key findings into presentation materials for internal and external stakeholders
2-4 years experience in a data analytics / research related role on the buy-side or sell-side Experience in public equities
Quick learner, comfortable operating in an unstructured environment
Strong understanding of fundamental investing
Superior communication skills
Experience working in a highly collaborative environment
Nice to Have's
Ability to manipulate data within SQL
Strong familiarity with data requirements for robust statistical analysis
Educational background in economics, finance or related field
Interest in or exposure to machine learning
Familiarity with crowdsourcing concepts
Internal Number: 6315035
eFinancialCareers is a career site specializing in financial services.