Senior Analyst, Market Risk Analytics

Overview

Analyze and report market risk for renewable & thermal assets using Excel, Power BI, SQL, Python.

Key Responsibilities

• bug fixes
• etrm enhancements
• databricks
• risk reporting
• power bi
• risk models

Tasks

-Partner with business and IT stakeholders to address bug fixes and implement enhancements to the ETRM system, ensuring alignment with risk management requirements and operational efficiency -Prepare ad-hoc forecasts and analyses as needed -Collaborate with Risk and Trading Systems teams to ensure data integrity and pricing accuracy in market risk models and asset valuation processes -Participate in other projects related to market risk management and reporting as requested -Analyze and stay apprised of global energy market trends, regulatory changes, and their impact on portfolio risk -Build and optimize DataBricks workflows to enable efficient big data processing for risk analytics and reporting purposes, serving as the primary point of contact on the Market Risk Analytics team for all DataBricks-related initiatives -Learn and fully comprehend the data architecture and risk models (e.g., Value-at-Risk, P&L) used in the Allegro ETRM system (SQL database) for trade capture, asset valuation, and risk metrics -Report on various risk metrics across the portfolio to ensure market risk levels are fully understood, accurately captured, and challenged when necessary -Design, automate, and maintain scalable risk reporting solutions using advanced Excel workbooks, Power BI dashboards, and DataBricks to deliver timely and accurate risk reports

Requirements

• python
• sql
• power bi
• databricks
• bachelor's
• 2+ years

What You Bring

-Experience in energy, utilities, or related industry, preferably in a trading environment, with hands-on use of Energy Trading and Risk Management (ETRM) systems such as Allegro -Familiarity with derivatives, hedging instruments, and the dynamics of commodity and energy markets -Basic to Intermediate Python programming skills for data analysis, scripting, and automation of risk models and reporting processes -Bachelor's Degree in a quantitative field such as Engineering, Computer Science, Mathematics, Economics, or Statistics -Intermediate to advanced SQL programming experience required for querying databases and integrating data into risk models and reports -Strong proficiency in Power BI, Tableau, or similar for dashboard creation and troubleshooting -Strong analytical and quantitative problem-solving abilities, with experience in risk metrics like VaR, volatility, and correlation -Eligible to work in the United States without the need for employer visa sponsorship now or in the future -Experience with DataBricks for building automated, scalable reporting pipelines and processing large datasets, with the expectation that proficiency can be developed on the job -2+ years of experience in a technical/quantitative role, with a strong focus on market risk analysis, data modeling, or financial analytics -Advanced proficiency in Microsoft Excel for complex modeling and data manipulation (e.g., macros, VBA) -High attention to detail with a proactive approach to identifying and solving problems -Ability to work autonomously in a fast-paced, data-driven environment and effectively collaborate within cross-functional teams

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About Invenergy

-Set out to revolutionize power with bold, large-scale projects. -Privately held with backing from Blackstone and CDPQ. -Operates first Arizona solar-plus-storage site, blending innovation with regional impact. -Takes on high-stakes transmission and offshore wind ventures, complemented by a growing clean-hydrogen and manufacturing push. -Its CPV Desert Green project in California and large Midwest wind farms highlight a knack for pioneering uncommon tech at scale.

Sector Specialisms

Visa Sponsorship

-must be eligible to work in the us; no employer visa sponsorship now or in future.