Quantitative Energy Analytics Developer Denver/Boulder, Colorado

cQuant; Boulder (CO); Hybrid; USD 70,000 - 120,000; Full time

Benefits offered by this job

Generous paid time-off (PTO)

Choice of working from home or office

Monthly stipend for health insurance

Job summary

A leading energy analytics firm in Boulder, Colorado seeks a Quantitative Energy Analytics Developer. You will develop and support quantitative models, interface with clients, and contribute to advanced energy analytics. Ideal candidates have expertise in R/Python and experience in the energy industry. Competitive salary range of $70,000 - $120,000 with generous benefits including flexible work options and health insurance.

Qualifications

• 2+ years of experience in a quantitative role within the energy industry or directly-related academic setting.
• Current U.S. Citizenship or Permanent Resident status.

Responsibilities

• Developing new quantitative models or enhancements to existing models.
• Gathering detailed technical/functional model requirements.
• Validating new or existing models.
• Providing technical quantitative subject matter expertise.
• Interfacing with clients on model use.
• Assisting staff with use or maintenance of quantitative models.

Skills

Time series analysis

Monte Carlo simulation

Advanced regression techniques

Optimization techniques

Modeling in R

Modeling in Python

Communication skills

Experience with wholesale power markets

Quantitative energy trading experience

Machine learning

Education

Bachelor's degree in a quantitative field

Job description

cQuant is seeking a Quantitative Energy Analytics Developer to develop and support quantitative models and deliver these within our web-based software-as-a-service platform for advanced energy analytics. If you are passionate about the energy industry and want to be at the forefront of the quantitative analytics enabling the renewable transition, we want to hear from you!

cQuant is revolutionizing the way energy companies access and use quantitative models to drive their businesses forward, from supporting the renewable transition to optimizing the traditional generation that enables it. cQuant’s analytical offerings are built specifically for energy companies and span a broad array of industry verticals including energy trading, electricity production (thermal, renewable, and storage), retail energy, gas procurement and transportation, risk management, portfolio optimization, and others.

Job Responsibilities

• Developing new quantitative models or enhancements to existing models relative to a detailed technical specification.
• Gathering detailed technical/functional model requirements and generating model specification documents.
• Validating new or existing models.
• Providing technical quantitative subject matter expertise.
• Interfacing with clients on model use, configuration, and calibration.
• Assisting cQuant staff with use or maintenance of quantitative models.

Required Skills and Knowledge

• Expertise in at least one of the following techniques: time series analysis and Monte Carlo simulation, advanced regression and econometric techniques, advanced optimization techniques leveraging commercial solvers.
• Demonstrated track record of success building quantitative models in R or Python.
• Proficiency in communicating modeling methodology and explaining results with a focus on the “why”, both verbally and in writing.
• Ability to thrive within a fast-paced, highly-collaborative, results-oriented environment.
• Experience with wholesale power and/or commodities markets is strongly preferred.
• Quantitative energy trading experience preferred.
• Machine learning and predictive analytics experience preferred.
• Current U.S. Citizenship or Permanent Resident status.

Education and Experience

• 2+ years of experience in a quantitative role within the energy industry or directly-related academic setting.

Salary and Benefits

• Salary Range: $70,000 - $120,000 depending on experience.
• Benefits include generous paid time-off (PTO) policy, choice of working from home or office, and a generous monthly stipend to put towards our great health, dental and visions insurance.