Pharmaceuticals, Manufacturing, Utilities/ Energy, Education, IT/Software
Work Authorization:
- Bachelor s degree or higher in mathematics, statistics, computer science, engineering, economics or related quantitative discipline.
- 2 years of hands-on experience with a wide variety of predictive modeling, machine learning, data mining, time series forecasting and optimization algorithms in enterprise environment.
- 1 year of experience with SQL Server, T-SQL.
- Must have demonstrated ability to code complex programs in SQL and R/Python.
- Proficiency in rapid prototyping and coding skills using common machine learning tools like R, Python, H2O.ai, RStudio Shiny, Plotly, Keras etc.
- Strong background in machine learning, regression analysis, hypothesis testing, empirical data analysis, probability and/or statistics. Knowledge of predictive model development and oversight.
- Knowledge of financial engineering to develop, maintain and/or validate machine learning models used for predictive analytics, forecasting, valuation, strategy selection, portfolio and risk management covering a wide range of financial products (ex. banking, consumer, mortgage, insurance etc.).
- Banking/Financial services background preferred.
QUANTUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. QUANTUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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