Job Description

Virtual and Power Traders

Must have a recent history of trading virtual power in the US short-term markets with a history of a profitable track record with P&L ranging $1 mln - $10 million. Technical Quant and coding skills preferred. Being able to carve out your edge in the marketplace is important. The ideal candidate should be collaborative with trading skills and a proven ability to generate and close new trades.

Responsibilities

• You are expected to be able to independently run a profitable virtual/power trading book.
• Assess and report on the effectiveness of our current risk measurement and management procedures.
• Assist in improving the current risk metrics in capturing risks inherent in nodal and futures/options trading.
• Improve the performance of the current Point-to-Point Obligation Bid (PTP) and daily spread trading program in terms of both profitability and volume, while complying with the Company’s risk metrics.
• Construct profitable Virtual/FTR/CRR portfolios, both monthly and longer term.
• Develop the power flow simulator-based analysis programs for trading PTPs, VTs, and FTRs / CRRs.
• Complement the nodal trading with trading natural gas and electric power futures and other exchange-traded derivatives on commodity exchanges.

Qualifications

Your Skills include a number of the following:

• Team Player and the ability to work under tight timelines
• Must have Power Trading history with a profitable P/L history
• Direct experience in the Power, Nodal, and Virtual trading
• Strong communication skills
• Understanding of the ISO transmission systems.
• Market knowledge producing short-term and long-term price forecasts of natural gas and electricity.
• Direct experience in power flow simulation models (Power Word and others)
• ISO and energy/power futures markets experience

Preferred Skills

• Programming experience in either of Python, VBA, C#, Matlab, Mathematica, SQL, or R,
• An advanced degree in Electrical Engineering, Statistics, Financial Engineering, Finance, Mathematical and Computational Finance, Economics, or other similar quantitative disciplines.

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