Financial and ETF Data Scientist

Job Title: Financial and ETF Data Scientist

Data scientists are focused on joining, enriching, and transforming datasets into novel creative measures of economic activity. We utilize a variety of modeling techniques to generate financially-relevant predictions feeding into systematic investment management platform, we measure the performance and impact of our predictions in a variety of settings, and we further distill economic insights and thematic analyses from our data & observations.

You will take on the following responsibilities:
• Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors
• Contribute to the design of investing strategies on economic predictions through multiple investing paradigms
• Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds
• Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts
• Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes
You should possess the following qualifications:
• 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting
• Degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, or computer science
• Demonstrably strong data science modeling intuition and feature engineering creativity
• Expertise in applying statistical techniques for time-series measurement/estimation and prediction
• Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
• Experience specifying & managing requirements for datasets leveraged in your analyses
• Working knowledge of SQL and common data science toolkits : Python, R, Spark, Matlab
• Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
• A portfolio of open-data analyses or data-driven research publications would be ideal
You will enjoy the following benefits:
• Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents
• Learning: Tuition reimbursement, conference and training sponsorship
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves