Boston Energy Trading and Marketing

Quantitative Analyst, Battery Energy Storage Systems Optimization

LocationBoston, MA
Job TypeFull-time

About This Job

POSITION DESCRIPTION:

Boston Energy Trading and Marketing – Quantitative Analyst Asset Valuation

Title: Quantitative Analyst Asset Valuation

Reports to: SVP, Energy Trading and Analytics

Purpose: Responsible for asset valuation and pricing analytics in support of BETM commercial activities with emphasis on renewable generation offtakes and structured energy transactions

Revised: 6/2025

Location: Boston, MA, US

Boston Energy Trading and Marketing (BETM) is a wholly-owned subsidiary of Mitsubishi Corporation, a global integrated business enterprise that develops and operates businesses across virtually every industry. Mitsubishi’s current activities have expanded far beyond its traditional trading operations to include investments and business management in industrial goods, retail, new energy, infrastructure, finance and new technology-related businesses.

Boston Energy Trading and Marketing provides asset management & optimization services to owners of generation and energy storage in North America, and wholesale energy to retail power & gas suppliers. Our proprietary traders cover competitive power markets including New England, Midwest and Western markets. BETM has been optimizing our customers’ generation assets for over 15 years. Our current organization has its roots in Citizens Power, dating back to 1989 when Citizens obtained the first FERC power marketing license and market-based-rate authorization. Mitsubishi’s Diamond Generating acquired BETM from NRG Energy in August 2018, and prior to 2014 BETM was known as Edison Mission Marketing and Trading. Mitsubishi's provides BETM with investment-grade credit support for BETM’s commercial activities.

Role Summary:

Boston Energy Trading and Marketing ("BETM") is looking for a Quantitative Analyst, Asset Valuation to join its Analytics team in support of pricing and valuation analytical efforts for the structured products and generation services business areas. The successful candidate will possess strong quantitative, technical and data analytics skills with demonstrated Python development capabilities. The candidate must be adept at working independently as well as have strong collaborative capabilities across the Analytics, Asset Management, Structured Products, and IT teams. This position will report to the head of the Energy Trading and Analytics team and will be located in our Boston, MA office.

Responsibilities:

We expect to develop the successful candidate via a series of supervised projects to the point that the individual is prepared to support the following responsibilities:

Develop, maintain and enhance pricing & valuation models for power & natural gas products, power congestion contracts, load positions, renewable generation offtakes including Power Purchase Agreements (PPAs), energy storage, structured commodity transactions, and other derivatives in a systematic analytical framework including developing and utilizing option pricing and generation dispatch models

Support fundamental modeling (of supply and demand) for power & natural gas markets at regional and macro levels utilizing state-of-the-art demand forecasting and the latest infrastructure intelligence available. Markets of interest include all North American RTO power markets and natural gas markets
Provide analytical support to all BETM commercial groups with primary focus on Structured Products and Asset Management activities including asset valuations, renewable project assessments, PPA structuring and evaluation, deal structuring support, and investment analysis
Work closely with IT on analytical systems & modeling improvement projects and developing and testing new system enhancements
Support risk quantification activities and periodic reporting requirements


Qualifications:

Bachelor's degree in Computer Science, Engineering, Math, Science required, or equivalent quantitative study. Graduate degree in Quantitative Finance, Econometrics, or similar field is preferred
Python development skills with experience in quantitative modeling using modern data structures, analysis and visualization tools
Knowledge of traditional and cloud-based database and storage systems
Experience with developing, deploying and maintaining models in modern cloud-based environment (Git, pipelines, containerization) is preferred. Familiarity with Microsoft Azure tools is a plus
Understanding of financial modeling concepts including option pricing, risk management, and asset valuation methodologies
Attention to detail, diligent, strong organizational, interpersonal and communication skills, curious, confident, and creative
Ability to overcome ambiguity and achieve goals without knowing the steps involved to get there; ability to plan/manage multiple priorities while committed to deadlines in a demanding environment and work overtime when required
Works well in an open office environment
Some experience (1-5 years) in electric utility, developer, power market analysis, energy consulting, or related field is preferred. Experience with power or natural gas markets is strongly preferred

Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

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