Senior Quantitative Risk Analyst

Grade Level (for internal use): 11 The Team: S&P Global Energy is seeking an experienced Analyst for its Commodity Risk Solutions team. We create solutions to support commodity risk functions in most of the energy commodity markets in the world, primarily quantitatively-derived forward curves for markets with little to no liquidity. We are a multi-disciplinary team, covering many commodities and regions, and we conceptualize, develop and operate our models. The Impact: The analyst will work across the value chain here at S&P Global Energy, starting with sales and product management to define the market opportunity, then with both S&P Global Energy editorial and analytical staff to develop new forward curves and other products, through development of the code to publish the curves, and monitoring curve performance every day. They will leverage their knowledge of markets and our products to assist sales in defining and describing our products to customers.  What’s in it for you: You will be placed on a challenging, steep learning curve in terms of not only deepening subject matter expertise in many commodity markets, but also the technologies that enable us to develop and publish our curves relatively independently of external support: Matlab, SQL and Excel. Through our unique position in the organization, we also work closely with the product management organization to manage related editorial products.

Develops algorithms for new forward pricing points for illiquid locations/commodities. Implements algorithms in Matlab and SQL. Updates related documentation. Performs analysis and modeling including developing quantitative/analytic/statistical models. With the team, ensures proper publication of curves every day. Responds to client requests/enquiries for data and analysis.

Required: Proven work experience performing commodity quantitative or market analysis in 1 or more of the following markets: Crude Oil; Refined Products; Electricity; Natural Gas; LNG; Metals Regional commodity experience from Europe/Middle East or Asia. Experience with Risk Management, forward curves and/or volatility is essential. Experience using the following tool/technologies required: Scientific Programming (Matlab/Python/R/SAS), SQL databases, and MS Excel. Displays well-rounded communication skills that implement good listening techniques, clear, concise writing style and good verbal skills. Ability to communicate across a wide range of groups and personalities internally and externally. Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team. Adept at managing multiple tasks and adhering to regular deadlines. Able to adjust priorities throughout the day. Self-Starter required – you will be working remotely from management and must be able to diligently pursue tasks and manage priorities. The ideal candidate will be comfortable developing quantitatively-derived forward curves in coordination with other experts in the company, as well as implementing them in an every-day, without-fail environment, with little direct supervision. About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at