Sr. Valuation Analyst

Sr. Valuation Analyst

Position Summary:

Develop and implement industry leading valuation models, providing direct support for complex trade floor Risk Systems and operations. Apply 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.

• Develop, implement and standardize pricing and valuation models to estimate risk, position and value real energy options.
• Review and quickly understand the 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 a 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 the ability to apply them to pricing energy commodity market real options and structured products.
• Experience with parameter estimation 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 and VBA.
• Knowledge of Trading Risk Systems such as 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.

Pay: $84,900.00 to $ per year.

• Annual Incentive Program
• Medical/Pharmacy Plan
• Dental
• Vision
• Life Insurance
• Dependent Care Reimbursement Account
• Health Care Reimbursement Account
• Health Savings Account (HSA) if enrolled in an eligible health plan
• Limited‑Purpose FSA if enrolled in an eligible health plan and HSA
• Transportation Reimbursement Account
• Short‑term disability (STD)
• Long‑term disability (LTD)
• Employee Assistance Program (EAP)
• Fitness Center Reimbursement if enrolled in an eligible health plan
• Tuition reimbursement
• Transit programs
• Employee recognition program
• Pension
• 401(k) plan
• Paid time off (PTO)
• Holidays
• Volunteer Paid Time Off (VPTO)
• Parental Leave

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans at any time, in whole or in part.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Individuals with a disability who need an accommodation to apply please contact

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