Current jobs related to Environmental Commodities Trader - Detroit, Michigan - DTE Energy

DTE is one of the nation's largest diversified energy companies. Our electric and gas companies have fueled our customer's homes and Michigan's progress for more than a century. And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier environment to power our future. We're also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states. But we're more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you'll be part of a team that welcomes, recognizes, and celebrates differences, and values everyone's health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.

Location: Various, United States

Job Summary

DTE Energy Trading is seeking a trader to join its Environmental Markets team, which trades in renewable energy, renewable fuels, and carbon markets. This position will focus on the intersection of market analysis and trading, sitting within a tightly knit team with deep environmental market experience. The Environmental Commodities Trader is responsible for creating value through analyzing and understanding the market in the regions assigned. They will be able to perform supply-demand market analysis, place trades with predetermined exit and stop levels, monitor the market, and follow the risk management processes and procedures.

Key Accountabilities

• Analyzes markets in the assigned regions/products and develops and executes proprietary trading strategies
• Accountable for delivering positive financial results from the use of the company's capital
• Manages capital allocation for positions and develops optimal trade execution strategies while managing the associated risks of the strategy
• Routinely trades renewable energy credits (RECs), carbon allowances/offsets, Low Carbon Fuel Standard (LCFS) credits, Renewable Identification Numbers (RINs), or other environmental commodities related to the assigned market to which the company has exposure
• Considers potential trades over several different time horizons and the interrelations and connectivity between several disparate supply/demand factors
• Performs all other related duties as assigned

Minimum Education & Experience Requirements

• Minimum B.S or B.A or equivalent experience in economics, finance, engineering, or other relevant discipline(s)
• 3-5 years of trading and/or applicable analytical experience

Other Qualifications

Preferred:

• Thorough understanding of North American environmental markets, including, but not limited to, supply and demand, logistics, regulations, and operations
• Proficiency in data analytics and quantitative analysis, with experience in programming languages such as SQL, Python, or R
• Specific knowledge of hedging and trading techniques for specific regions
• Thorough understanding of all financial and physical products that are viable for executing trading strategies and hedges
• Thorough understanding of risk measurement techniques such as VaR used in measuring specific trading activity
• Team player with proven ability to work with internal stakeholder groups (e.g. risk, settlements, legal)
• Working knowledge of finance, accounting, production, operations, and public policy issues facing environmental markets
• Ability to operate in a fast-paced dynamic commodity market environment, where there are often time constraints and time sensitive deadlines
• Demonstrated high adaptability and adeptness in multitasking
• Excellent communication skills
• Strong capability to work autonomously and self-motivate for continuous self-education

Other Requirements:

• Capability to work both in-person and remotely, as the role entails a hybrid model incorporating elements of both