Job Description
S&P Global Energy CERA
The Role: Principal Research Analyst, APAC Power & Renewables Modeling
The Location: Beijing/Shanghai/Singapore
The Team:
APAC power renewables research analytics team sits under S&P Global Energy CERA, delivering in-depth power market fundamentals analysis analytics, short- long-term market outlooks, market insights, pricing market mechanisms tracking, procurement mechanisms other relevant topics that serve the interest of worldwide companies leading the energy transition.
The Impact:
S&P Global Energy Power Renewables research team is expanding its analytics offerings with advanced market simulations stochastic modelling capabilities to help clients make timely, data-driven decisions on short- long-term investment opportunities.
What’s in it fyou:
This role will be instrumental in advancing our APAC power renewable quantitative analysis modelling capabilities, working closely with research consulting teams in the region globally to set up fine tune power market models ftimely investment decisions trading strategies.
Key Responsibilities
Lead the establishment of new iterations of existing power market simulation models using industry recognized tools.
Build maintain processing scripts (i.e. Python) to automate data handling to connect with various in-house models.
Manage the gathering, cleaning,ganizing of large data sets from different sources apply advanced data analysis to drive key insights in research.
Apply adopt cutting-edge data science statistical methods to produce advanced power forecast outputs.
Support regional research analysts with quantitative analysis report writing when needed.
Work with other research teams to share practice, align data, agree on market findings ensure consistency in client facing deliverables.
Share findings through reports, presentations, client briefings, support consulting projects bespoke studies when needed. Ensure reports fclients are accurate delivered on time answer any related client questions.
Work with commercial team to pursue new business opportunities to demonstrate power renewables services modelling capabilities.
What we are looking f
Proven expertise in power market modeling using leading platforms tools, such as PLEXOS, AURORA, PyPSA, DigSILENT PowerFactory, EATP, PowerWorld Simulator, PSCAD, OpenDSS, other industry-grade models developed fpower system dispatch simulation, price forecasting, scenario analysis, trading analytics.
Advanced proficiency in data science, visualization, statistical analysis, automation using Python, R similar coding languages.
Familiarity with machine learning approaches fforecasting scenario analysis such as LSTM, XGBoost, VGNN, VMD, DDPG.
Strong quantitative research skills, with the ability to synthesize complex data translate findings actionable insights.
A good understanding of power market fundamentals, grid dispatch power trading principals, policy impacts, industry trends.
Collaborative mindset experience working in cross-functional teams.
Good communication skills, both written verbal, with the ability to present complex concepts to diverse audiences.
Bachelor’s Master’s degree in Engineering, Computer Science, Data Science, Economics, Business Analytics a related field.
About Company Statement:
S&P Global delivers essential intelligence that powers decision making. We provide the world’s leadingganizations with the right data, connected technologies expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments individuals with the knowledge to adapt to a changing economic landscape.
S&P Global Energy enablesganizations to long-term, sustainable value with data insights fa complete view on the global energy commodities markets.
More
