675 Quantitative Analyst Intern jobs in Denver,CO

Excelitas Technologies

Boulder, CO 80302

Technical Writer Intern
Basic to intermediate technical writing experience is acceptable.
Strong written communication skills and attention to detail.
Ability to learn technical processes and translate them into clear, step-by-step instructions.
Working Proficiency in Microsoft Office (Word, Excel, PowerPoint).
Ability to organize information in a structured and logical format.
Willingness to learn, ask questions, and work with cross-functional teams.

IVI RMA North America

Littleton, CO 80129

CV Resources

Englewood, CO 80113

Bachelor's degree in Finance, Accounting, Business Administration, or a related discipline; equivalent professional experience may be considered
At least four years of experience in finance, budgeting, forecasting, business analysis, or related areas
Demonstrated expertise in Microsoft Excel, including advanced analysis of large and complex datasets
Strong quantitative reasoning, attention to detail, and critical-thinking capabilities
Effective verbal, written, and presentation communication skills
Proven ability to balance competing priorities and perform effectively in a dynamic, deadline-driven environment with limited supervision

THE BORGEN PROJECT

Glendale, CO 80246

THE BORGEN PROJECT

Centennial, CO 80015

Xcel Energy

Denver, CO 80219

Master's Degree in a numerate discipline, such as computer science, mathematics, engineering, physics or similar quantitative field.
Minimum 2 years of deal structuring, risk management, and/or coding experience.
Understanding of pricing and valuation of complex, structured products in the energy commodity markets.
Demonstrated ability to use statistical methods to model and explain energy market and contract risk characteristics.
Knowledge of standard quantitative/computational finance methods and ability to apply them to pricing energy commodity market real options and structured products.
Experience with parameter estimation, both using large data sets as well as when faced with sparse and illiquid market data.
Programming skills for data analytics and model implementation, including Python, VBA.
Knowledge of Trading Risk Systems ; Lacima, ETRM, Triplepoint CXL, SAS, Morningstar Curve Manager and IBM ESB preferred.
Ability to communicate effectively with demanding customers on a fast-paced energy trade floor.