Job Description:

The Associate will be a member of the Predictive Analytics team and will work with research analysts across regions to identify and analyze data that informs analysts’ investment ideas and is communicated via research reports.

Responsibilities:

Identify, acquire and cleanse data sources relevant to each project, including proprietary data, alternative data, market data and fundamental dataAnalyze data using statistical methods, tools and time-series analysisVisualize, simplify and communicate data analysis to research analysts in a digestible manner that they can communicate to their clientsAutomate recurring analyses and routinesTroubleshoot and resolve data-related issuesStay current on academic white papers, attend industry conferences and seek opportunities to implement cutting-edge techniquesParticipate in company, department and team events, including employee networks and committees

Required Skills:

Undergraduate Degree, Master’s Degree preferred or equivalent years of experience3+ years of full-time experience working with dataDirect experience working in the alternative data space is preferredExperience writing Python code to retrieve data via APIs and conduct statistical analysis, machine learning, web scraping and sentiment analysis using Natural Language Processing (NLP)Experience writing SQL queries to retrieve dataAdvanced Excel skills and working with large datasetsIntellectually curious with strong analytic, quantitative, and critical reasoning skillsExcellent verbal and written communication skillsStrong attention to detail; exercise strong quality control over own workSuperior problem-solving and analytical skillsAbility to prioritize and manage multiple projects and meet deadlinesAbility to work effectively with others in a collaborative environment, as well as the ability to work independently

Shift:

1st shift (United States of America)

Hours Per Week: 

40