Power Quantitative Risk Junior Analyst

Houston, TX 77002

Posted: 12/29/2022 Industry: Energy-Middle Office Job Number: 1682

Job Description

A wholesale power generation company is searching for a Quantitative Risk Junior Analyst to analyze portfolio risks associated with its power plant assets and power trading desk. Key responsibilities include:

 

  • Developing stochastic simulation-based models to value energy assets and complex structured transactions (generation, tolling, load-following, full-requirements),
  • Hedging, sensitivity, and scenario analyses of the portfolio,
  • Quantifying portfolio market, credit and liquidity risks,
  • Analytically reviewing and identifying factors that impact commodity risk, and
  • Providing portfolio reporting and trading analytical tools for the commercial trading teams.


Ideal candidates will have a strong combination of analytical/mathematical proficiency, programming skills and familiarity with commodity markets (power, gas, oil, or refined products).


Educational and professional requirements include a bachelor’s degree (master's degree preferred) in Math, Statistics or a STEM/quantitative field; 1+ years’ experience in quantitative risk modeling in a trading environment (capital markets or energy markets); understanding of derivative (options) pricing models and risk metrics including GMAR, VAR, PFE; experience with time series analysis, stochastic analysis, Monte Carlo simulations, econometrics and probability/statistics methods; and proficiency with R or Python, relational databases and SQL development.

New graduates with a master’s degree and strong internships will be considered.

A wholesale power generation company is searching for a Quantitative Risk Junior Analyst to analyze portfolio risks associated with its power plant assets and power trading desk. Key responsibilities include:

 

  • Developing stochastic simulation-based models to value energy assets and complex structured transactions (generation, tolling, load-following, full-requirements),
  • Hedging, sensitivity, and scenario analyses of the portfolio,
  • Quantifying portfolio market, credit and liquidity risks,
  • Analytically reviewing and identifying factors that impact commodity risk, and
  • Providing portfolio reporting and trading analytical tools for the commercial trading teams.


Ideal candidates will have a strong combination of analytical/mathematical proficiency, programming skills and familiarity with commodity markets (power, gas, oil, or refined products).


Educational and professional requirements include a bachelor’s degree (master's degree preferred) in Math, Statistics or a STEM/quantitative field; 1+ years’ experience in quantitative risk modeling in a trading environment (capital markets or energy markets); understanding of derivative (options) pricing models and risk metrics including GMAR, VAR, PFE; experience with time series analysis, stochastic analysis, Monte Carlo simulations, econometrics and probability/statistics methods; and proficiency with R or Python, relational databases and SQL development.

New graduates with a master’s degree and strong internships will be considered.

Send an email reminder to:

Share This Job:

Related Jobs:

Login to save this search and get notified of similar positions.