Energy Forward-Curve Quant Risk Analyst

S&P Global, Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Retirement planning

Student loan contribution

Family perks

Job summary

S&P Global Energy is seeking an Analyst to develop forward curves and analytical models for illiquid energy markets. You will work with sales, product management and editorial teams to define opportunities, and implement algorithms in Matlab and SQL to publish curves daily.

The role requires experience in commodity quantitative analysis across energy markets and familiarity with Matlab/Python/R/SAS, SQL and Excel.

Qualifications

• Proven work experience performing commodity quantitative or market analysis in relevant markets such as Crude Oil, Refined Products, Electricity, Natural Gas, LNG or Metals.
• Regional commodity experience from Europe/Middle East or Asia.
• Experience with Risk Management, forward curves and/or volatility is essential.
• Proficiency with scientific programming and data tools (Matlab/Python/R/SAS), SQL databases, and MS Excel.

Responsibilities

• 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.
• Ensures proper publication of curves daily.
• Responds to client data requests and analyses.

Skills

Commodity analysis

Communication

Team collaboration

Self-motivation

Multitasking

Tools

Matlab

Python

R

SAS

SQL

Excel

Job description

S&P Global Energy is seeking an Analyst to develop forward curves and analytical models for illiquid energy markets. You will work with sales, product management and editorial teams to define opportunities, and implement algorithms in Matlab and SQL to publish curves daily.

The role requires experience in commodity quantitative analysis across energy markets and familiarity with Matlab/Python/R/SAS, SQL and Excel.