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Energy Risk Management Analyst

2 months ago

MagstattleBas, Grand Est, United States CATCH Intelligence Full time

Position Overview: As an Energy Risk Management Analyst at CATCH Intelligence, you will be integral to enhancing our Market Risk division, focusing on trading risk oversight. This position involves the validation, creation, and deployment of quantitative models that evaluate risks inherent to energy and commodity sectors.

Key Responsibilities:

  • Model Validation and Development: Design, validate, and refine advanced risk models covering market (price, volatility, correlation), exposure, and liquidity risk aspects, including VaR, PFE, EaR, and funding liquidity.
  • Model Implementation: Execute various at-risk models (VaR, GMaR, Congestion at-Risk) alongside stressed/scenario models (PFE, LGD).
  • Energy Price Forecasting: Contribute to the development of energy price forecasts, forward curves, and volatility models.
  • Fundamental Analysis: Provide expertise in the fundamental analysis of Power, Gas, and REC markets.
  • Market Analysis and Reporting: Assist in market fundamentals analysis and reporting, while mentoring junior team members.
  • Valuation Modeling: Conduct valuation modeling for price verification and model validation, including exotic products such as full-requirements/load following deals and long-dated contracts.
  • Risk Management Tools: Design and develop risk management tools for evaluating the company's risk profile and exposure levels.
  • Continuous Improvement: Adapt and enhance risk models in response to evolving business strategies and dynamic market conditions.
  • Scenario Analysis: Perform comprehensive scenario analyses and stress tests to assess potential impacts of adverse market conditions.
  • Collaboration: Work closely with cross-functional teams to ensure the seamless integration of risk models.
  • Financial Reporting: Participate actively in month-end, quarter-end, and year-end closing processes.
  • Compliance: Adhere to SOX control processes and innovate stronger control measures.
  • Mentorship: Guide junior colleagues in best practices for quantitative analysis.
  • Algorithm Development: Assist in creating core algorithms and models to support trading, origination, and asset pricing/optimization/hedging recommendations.

Qualifications:

  • Advanced degree in finance, such as Financial Engineering, Mathematics, Statistics, Economics, or related fields.
  • Minimum of 3 years of experience as a quantitative analyst or in related roles within a trading environment.
  • Proficient programming skills in languages such as Python or R for quantitative analysis.
  • Strong understanding of stochastic modeling techniques, including GBM.
  • Advanced Excel skills, including pivot tables, Power Queries, and complex formulas.
  • Excellent interpersonal communication and presentation abilities.
  • Familiarity with regulatory expectations and industry standards for risk management practices.
  • Professional enthusiasm for Energy Trading risk management.
  • Experience with ETRM systems and Oracle databases is a plus.

Working Conditions: This position is office-based, requiring flexibility to work additional hours on short notice.