A large-scale energy/utility provider with a strong power marketing function is seeking a Quantitative Analyst based in their Kansas City HQ or Topeka, KS office. The firm provides energy services to ~4.5 million customers across the mid-west. The company engages in energy trading to manage their energy portfolio, hedge against price volatility, and ensure a reliable supply of electricity for their customers.
This role reports directly to the firm's Senior Director in Risk Management & Strategy. They are seeking a candidate with 7 - 12 years of experience that will be responsible for ensuring that new commercial strategies align with the overall portfolio performance expectations and fall within acceptable risk tolerances. Requires in-depth knowledge of commodity market dynamics, tradable instruments, and risk management practices specific to Energy Trading industry. Works with management on developing, reviewing, and modifying the portfolio strategy based on agreed-upon risk scenarios. Works closely with energy traders to develop risk scenarios and showcase potential impact to the broader portfolio. This position will lead/build a team of up to three Risk Analysts.
In this role you will be responsible for:
Energy Risk Management Strategy
- Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing risk-adjusted revenue. Hedging strategies including DART optimization, CRR/FTRs, Credit and Collateral management, and term hedge and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.
- Collaborate with internal departments to incorporate long-term fundamental views into short-term risk mitigation trading strategies.
- Support Risk quantification and valuation of hedges, EMAs, and other structured transactions for contract negotiations and deal modeling
- Develop REC, Capacity, Resource Adequacy, and transmission hedging trading strategies.
- Develop Power, Natural Gas, and REC trading and hedging strategies.
Risk and Quantitative Analytics
- Develop gross margin at risk models for projects with market price exposure, with a focus on prompt month to five years forward, to guide hedging and risk mitigation strategies within the confines of the established Energy Risk Management policies.
- Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
- Develop stressed and scenario analysis for Market and Credit exposure, identify risk reducing strategies, and monitor/report execution of hedging/optimization activities.
- Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
- Facilitate trading strategy performance benchmarking and establishing risk limits.
Reporting & Communication
- Collaborate with senior executives in setting appropriate hedging and risk management strategies for both renewable and conventional assets.
- Develop insightful market dashboards using Power BI or similar tools.
- Participate in Risk Oversight Committee discussions along with senior leadership.
- Develop and present risk issues and stressed risk measures to the Risk Oversight Committee at the committee meeting.
- Work closely with the Sr Director Risk Management to ensure compliance and adherence to the risk policies.
- Lead creation of management reporting that presents positions and exposures.
Qualifications:
- 7 -12 years of experience in risk within the Energy Trading Industry
- Knowledge of US Electricity markets and power systems with direct experience with at least one ISO market
- Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.
- Highly experienced in at least one programming language, preferably Python or R, with a demonstrated track record of developing complex statistical models and ideally implementing them into a production system.
- Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
- Strong SQL and data mining skills.
- Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies.
- Ability to extract, manipulate, and analyze large datasets relevant to the energy market in order to develop complex trading algorithms.
- Exposure to regulatory expectations and industry standards concerning risk management practices including risk management modeling.
- Experience in valuing and transacting transmission hedging products.
