FTR Trading Analyst
Diamond Generating Corporation
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 across the North American energy value chain.
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.
The role of the FTR Analyst is research and modelling of supply and demand fundamentals and grid congestion in nodal independent system operator (ISO) markets. BETM participates in all nodal power markets, with a focus on congestion trading and near-term futures markets. The FTR Analyst will work closely with a team of energy trading professionals from diverse backgrounds that include economics, operations research, physics, electrical engineering, public policy and business, and have the opportunity to develop highly technical expertise in the field of energy economics and trading in electricity markets. As a top trading shop in electricity markets that are very technical and dynamic, Boston Energy Trading and Marketing (BETM) is an ideal place to learn and see real world trading and energy markets in action.
Essential Duties & Responsibilities:
The candidate is someone with very strong quantitative and research skills, who is looking to work in a small, dynamic environment where their efforts are directly tied to commercial decisions and outcomes. The candidate should be extremely adept at communicating information and analyses transparently. They should be comfortable making hypotheses and judgments from incomplete information and learning from that experience.
Task/Responsibilities may include:
- Research and modelling of electricity market supply, demand and grid congestion fundamentals for daily energy trading and to assess longer-term trends.
- Maintaining, executing and calibrating power flow optimization models.
- Working with a team to implement systematic congestion analysis and forward valuation of energy markets using optimal power flow (OPF) and nodal market simulation.
- Maintaining the Production Cost Model with market and in-house views.
- Develop and maintain codebase for automated reporting, charting, and/or dashboard tools that communicate market insights, risks, and opportunities.
- Performing general quantitative analyses and econometric studies of energy markets and new electric generation and transmission projects.
- Tracking and analyzing electricity markets and communicating efficiently regarding market fundamentals.
- Data mining and analysis to identify commercial opportunities.
- Bachelor's degree in Mathematics, Economics or related quantitative discipline.
- Minimum of one (1) year of experience in electricity markets in a consulting, commercial, engineering role or experience at an ISO.
- Team-oriented and collaborative.
- Must be effective working in a fast-paced team environment, and able to see any project through to completion.
- Masters or PhD in Electrical Engineering, Economics, Mathematics, Physics or other quantitative discipline.
- Proficiency with programming tools & quantitative modeling analytics using Python, Visual Basic, Matlab, R and SQL or other analytical tools is strongly desired.
- Strong quantitative and analytics background, including advanced-level skillset in simulation, optimization, statistics, options pricing theory
- Proficiency with data science, machine learning and deep techniques such as regression, classification etc
- Experience with databases & warehouses such as Snowflake
- Exposure to industry data platforms such as YES Energy
- Experience with business intelligence and data analytics tools such as Tableau/PowerBI
- Familiarity with unit testing, source control, code review
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