Senior PJM FTR Trader — Remote, Autonomous Ownership

Active Power Investments

Houston, Northern (TX, KY)

Hybrid

USD 180,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Remote work

Job summary

Active Power Investments seeks a senior trader to own a PJM FTR/CRR book with full autonomy, advising strategy, sizing, and risk management. The role focuses on risk-adjusted PnL and cross-portfolio integration, with a flexible toolset and remote work arrangement.

The ideal candidate combines quantitative rigor with commercial instinct, able to translate market insights into durable trading performance while operating independently across long-term, annual, and monthly auction cycles.

Qualifications

  • Bachelor's degree in a quantitative field (finance, economics, engineering, math, or physics).
  • Proven PJM FTR/CRR trading experience preferred or strong equivalent in related ISO markets.
  • Programming skills in Python, R, and SQL for research and backtesting.
  • Demonstrated record of risk-managed PnL generation in electricity markets.

Responsibilities

  • Develop and manage a PJM FTR/CRR book with autonomous ownership.
  • Model transmission congestion, outage schedules, and grid topology for pricing opportunities.
  • Oversee risk controls, limits, scenario testing, and PnL attribution.
  • Select and maintain analytics, data, modelling, and execution tools for the book.
  • Extend strategy to adjacent PJM products (virtuals, up-to-congestion, spreads) as appropriate.
  • Report position, risk, and performance to firm leadership on a regular cadence.

Skills

Risk management
Quantitative analysis
Autonomy
Stakeholder communication

Education

Bachelor's degree in a quantitative field

Tools

Python
R
SQL
Backtesting

Job description

Active Power Investments seeks a senior trader to own a PJM FTR/CRR book with full autonomy, advising strategy, sizing, and risk management. The role focuses on risk-adjusted PnL and cross-portfolio integration, with a flexible toolset and remote work arrangement.

The ideal candidate combines quantitative rigor with commercial instinct, able to translate market insights into durable trading performance while operating independently across long-term, annual, and monthly auction cycles.

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