Quantitative Developer
Lehigh Technical - New York City, NY
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Job Description Produce revenue and earnings forecasts for public companies based on alternative data; Apply statistical and predictive modeling techniques to analyze large data sets Manage sector forecasting pipeline in production environment Refactor production pipeline as needed Conduct investigations of outlier forecasts by interrogating intermediate steps in methodology and underlying data Analyze new data sets and determine statistical relevance to financial metrics; build out signals Skills / experience: 1-2 years of relevant professional experience Must be highly proficient in Python and SQL Experience in statistical models and regression analysis Demonstrated ability to conduct independent research utilizing large data sets Must be able to conduct deep-dive investigations and present results Communicate coding effectively to non-technical personnel Interest in equity markets and finance Accountabilities: Programming experience Detailed oriented Demonstrated ability to audit and debug your code Ability to digest and synthesize large and unstructured data sets Organized and able to present ideas Can independently develop and test ideas Strong Work Ethic Assertive yet willing to work within a team and take on any task Creative, strong work ethic and works efficiently Professional demeanor Able to present, communicate, and is approachable to team members and management Has self-reliance and uses good common sense Intellectually Curious Is able to identify and present obscure data that is unique and useful Education: Graduate or Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics, or Econometrics Programming essential in your course of study Nesco Resource and affiliates (Lehigh G.I.T Inc, and Callos Resource, LLC) is an equal employment opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status, or any other legally protected characteristics with respect to employment opportunities.
Created: 2021-11-29