Sr. Manager, Quantitative Analytics (Risk Management)
POSITION SUMMARY
This position represents the opportunity to enhance existing Risk Management processes and establish the Risk desk as a core discipline at Inspire. Leveraging your advanced quantitative analytic capabilities, you will play a critical role in ensuring Inspire appropriately values, monitors, and validates all aspects of market-facing risk as it disrupts the traditional utility model through its clean energy subscription offering, which creates multi-dimensional risk in its portfolio.
Reporting to the Chief Commercial Officer, you’ll join a team that works cross-functionally across Pricing, Structuring, Data Science, Analytics, Engineering, Finance, and our Product Lines. You will educate and advise the Executive Team, hosting our monthly Risk Management Committee meeting. The models you build will be integrated into our enterprise platform to systematize and automate risk assessments across our ecosystem.
THE SR. MANAGER, QUANTITATIVE ANALYTICS HAS SIX MAIN RESPONSIBILITIES
- Refine risk valuation methodology through the development of well researched proprietary models
- Serve as principal market analyst in developing innovative hedging strategies to optimize risk-adjusted return
- Enhance Risk Reporting and Controls (Positions, V@R, and other simulations)
- Assume ownership of weather sensitivity models and support the pricing of exotic derivative structures to manage correlated weather, volume, and energy price risk
- Manage and maintain forward energy and associated product curves
- Host the monthly Executive Risk Management Committee meeting
SOME 2020 DELIVERABLES
- Establish Daily Position and Risk Reporting Package
- Partner with Chief Commercial Officer in design and development of macro hedge strategy
- Define risk assessment methodology to enable predictive pricing
- Develop validation processes for updates to the models integrated into the operating model to ensure stability and accuracy
SUCCESS METRICS
- Hedge Effectiveness
- Risk Policy Adherence
EXPERIENCE
- Must Have
- Graduate degree in a quantitative field and 3 years experience in a role related to Commodities Risk Management or Trading
- Extensive knowledge of derivative pricing and portfolio optimization theory
- Expertise in Python, SQL, Excel and other analytic tools.
- BA/BS degree required in engineering, economics, or quantitative background
- Pragmatist with excellent collaborative & interpersonal skills
- Nice to Have
- CFA designation preferred
- Prior electricity, renewable energy or natural gas experience
- Wholesale energy trading experience
- Load forecasting