Sr. Valuation Analyst
$84.9k - $138.4kXcel Energy
Denver, Colorado, 80205, United States of America Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for. Sr. Valuation Analyst Position Summary Develop and implement industry leading valuation models, providing direct support for complex trade floor Risk Systems and operations. Applies knowledge of standard quantitative/computational finance methods to energy commodity Risk System pricing and valuation spaces. Demanding internal customers and fast-paced trade floor operations require the ability to efficiently and effectively solve complex quantitative problems. Essential Responsibilities
- Develop, implement and standardize pricing and valuation models to estimate risk, position and value or real energy options.
- Review and quickly understand commercial terms of standard and structured energy commodity contracts.
- Identify and validate pricing visible parameters and estimate illiquid pricing parameters.
- Leverage existing quantitative skills, knowledge of energy commodity markets and structured products to solve quantitative problems.
- Develop and implement portfolio market risk distribution estimation methods.
- Benchmark, test and document transaction pricing models and system valuation models.
- Ensure model development can be leveraged across the trade floor by commercial and control personnel.
- Coordinate with Risk Operations/other groups to implement system valuation models and methods in a robust, accurate, and timely manner.
- 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.
Vacancy posted 4 hours ago
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