S&P Global

Principal Research Analyst, APAC Power & Renewables Modeling

S&P Global

full-time

Posted on:

Location Type: Hybrid

Location: Beijing • China

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Job Level

Lead

Tech Stack

Python

About the role

  • Lead the establishment of new and iterations of existing power market simulation models using industry recognized tools.
  • Build and maintain processing scripts (i.e. Python) to automate data handling to connect with various in-house models.
  • Manage the gathering, cleaning, and organizing of large data sets from different sources and apply advanced data analysis to drive key insights in research.
  • Apply and adopt cutting-edge data science and statistical methods to produce advanced power forecast outputs.
  • Support regional research analysts with quantitative analysis and report writing when needed.
  • Work with other research teams to share practice, align data, agree on market findings and ensure consistency in client facing deliverables.
  • Share findings through reports, presentations, and client briefings, support consulting projects and bespoke studies when needed.
  • Ensure reports for clients are accurate and delivered on time and answer any related client questions.
  • Work with commercial team to pursue new business opportunities to demonstrate power and renewables services and modelling capabilities.

Requirements

  • Proven expertise in power market modeling using leading platforms and tools, such as PLEXOS, AURORA, PyPSA, DigSILENT PowerFactory, EATP, PowerWorld Simulator, PSCAD, OpenDSS, or other industry-grade models developed for power system dispatch simulation, price forecasting, scenario analysis, and trading analytics.
  • Advanced proficiency in data science, visualization, statistical analysis, and automation using Python, R or similar coding languages.
  • Familiarity with machine learning approaches for forecasting and scenario analysis such as LSTM, XGBoost, VGNN, VMD, DDPG.
  • Strong quantitative research skills, with the ability to synthesize complex data and translate findings into actionable insights.
  • A good understanding of power market fundamentals, grid dispatch and power trading principals, policy impacts, and industry trends.
  • Collaborative mindset and experience working in cross-functional teams.
  • Good communication skills, both written and verbal, with the ability to present complex concepts to diverse audiences.
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Economics, Business Analytics or a related field.
Benefits
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
power market modelingdata sciencestatistical analysisautomationPythonRmachine learningdata visualizationquantitative researchdata analysis
Soft Skills
collaborative mindsetcommunication skillsquantitative research skillsability to synthesize complex dataability to present complex conceptscross-functional teamworkreport writingclient engagementtime managementproblem-solving
Certifications
Bachelor’s degree in EngineeringBachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in EconomicsBachelor’s degree in Business AnalyticsMaster’s degree in EngineeringMaster’s degree in Computer ScienceMaster’s degree in Data ScienceMaster’s degree in EconomicsMaster’s degree in Business Analytics