Data Analyst

ABOUT US Founded in 2014, we offer the industry’s first and only cloud-based, fully-customizable, end-to-end software solution to automate securities-based lending from origination through the life of the loan. By combining thought leadership in suitability and risk management with industry-leading education and the latest technology, Supernova enables advisors to deliver holistic, goals-based advice and to help their clients achieve financial wellness. We partner with the industry’s largest banks, most prominent insurance companies and leading online brokerages to democratize access to securities-based lending and better the entire financial ecosystem.

We are looking for a data analyst to support product managers and tech leads on securities-based lending system development. The goal is to ensure that the product development work and client projects are implemented successfully in all aspects and delivered timely with high quality. The data analyst intern will assist business analyst or research staff for data related research and analysis project assignments. The data analyst will have opportunities to gain hands on experience in financial data analysis, and how it works in fintech products.

RESPONSIBILITIES:

• Work with product manager to define back testing and validation plans for new analytical models and perform testing and analysis
• Carry out data analysis, comparison, and validation for product deployment projects for new clients to ensure high quality contents and functionalities
• Participate process improvement projects in data flow and operations
• Perform financial security data research and analysis, develop model such as multivariate regression analysis, simulations, or portfolio risk analytics

QUALIFICATIONS:

• Bachelor’s Degree in finance, engineering,  or technology related fields
• Highly analytical and quantitative thinking
• Self-starter with high level of motivation
• Detail oriented yet Systematic thinking yet is able to focus on details
• Team-oriented
• Proficient in SQL
• Proficient in MS Office Suite, especially Microsoft Excel and Microsoft PowerPoint
• Experience in data interpretation preferred
• Experience in financial services, wealth management, or education industries preferred