Quantitative Analyst Intern

Baynovation is hiring a Quantitative Analyst Intern to join our team in San Jose, CA. Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life. Requirements Bachelor’s degree from a top university Functional knowledge and experience with statistical and numerical techniques and business acumen Strong intellectual curiosity and desire to understand and learn about companies, industries, megatrends, and markets Self‑directed, can work within broad guidelines and prioritize workflow Ability to consume, distill large quantities of information and develop insights from vast sources of data including research reports, industry news, daily news publications, company press releases, etc. Excellent problem‑solving and analytical thinking skills a must Strong verbal and written communication skills Strong attention to detail Ability to work well in a collaborative environment Responsibility The Analyst will study disruptive technologies and megatrends and apply it to investments of public companies The Analyst will help maintain and develop screens, perform fundamental research on potential stock ideas, back test performance, make balancing trades, review Board Reports and help with other activities including, reporting, marketing, presentation materials, and RFP activities The Analyst will do first‑hand market research, and learn valuations skills The Analyst will also generate reports that help portfolio managers make buy sell for the fund Performing quantitative analysis on fund trades and characteristics Source, evaluate, and productionize alternative datasets with potentially leading latent information against time series objectives Evaluate model effectiveness against benchmarks in terms of both statistical power and financial risk‑adjusted performance as an investment signal to live trading strategies Reviewing, editing, and contributing to board memos and marketing material #J-18808-Ljbffr