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Quantitative Analyst - Power

U.S. Bankruptcy Court - District of CT

Stamford (CT)

On-site

USD 80,000 - 120,000

Full time

3 days ago
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Job summary

A leading energy trading firm in Connecticut is seeking a Quantitative Analyst for their Power Trading desk. The role involves developing pricing models, conducting market research, and generating insights that aid trading decisions. Ideal candidates will possess strong quantitative skills and experience in power market analysis, ensuring a collaborative and fast-paced work environment.

Qualifications

  • Experience in US Power or commodity market analysis required.
  • Strong expertise in quantitative modeling and statistical analysis.
  • Ability to work collaboratively in a fast-paced environment.

Responsibilities

  • Develop and enhance quantitative models analyzing US Power market dynamics.
  • Conduct research and analysis of US Power market trends.
  • Analyze large datasets to extract insights for trading decisions.

Skills

Quantitative modeling
Statistical analysis
Programming in Python
Programming in SQL
Programming in MATLAB
Problem-solving

Education

Bachelor's or Master's degree in Mathematics
Bachelor's or Master's degree in Statistics
Bachelor's or Master's degree in Physics
Bachelor's or Master's degree in Engineering

Job description

I am currently partnering with a leading Energy Trading firm in the Connecticut area that is actively looking to expand their Power Trading desk by taking on a Quantitative Analyst to work directly alongside their Head of US Power. This role will entail working on the development and implementation of pricing models, conducting power market research, development of analytical trading tools, and generating insights as to drive decision-making for the trading desk.

Key Responsibilities:

  • Develop and enhance quantitative models to analyze US Power market dynamics, including supply-demand fundamentals, pricing, and risk assessment.
  • Conduct in-depth research and analysis of US Power market trends, regulatory changes, and competitor activities to identify trading opportunities and risks.
  • Analyze large datasets of historical and real-time market data to extract actionable insights and support decision-making processes.


Key Qualifications:

  • Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or related disciplines.
  • Experience in US Power or broader commodity market analysis, including knowledge of market fundamentals, price drivers, and regulatory frameworks.
  • Strong expertise in quantitative modeling, statistical analysis, and programming languages such as Python, SQL, or MATLAB.
  • Excellent problem-solving skills and ability to work with large datasets and complex mathematical models.
  • Proven ability to work collaboratively in a fast-paced and dynamic environment, with a strong commitment to achieving team goals.
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